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feat: textile-process-controller skill package v0.1.0

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# Data provenance — textile-process-controller
Where the content of this skill package comes from, counted by
content items (tasks, competences, tools, evidence entries, curated
knowledge). Rendered live by Gitea:
```mermaid
%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#d97757','pie4':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — textile-process-controller
"ESCO (occupation & competences)" : 33
"O*NET (tasks & tools)" : 101
"Anthropic official Claude skills" : 6
"External AI skill packs (mapped)" : 152
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 33 | 11.3 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 101 | 34.6 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 0 | 0.0 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 6 | 2.1 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 152 | 52.1 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

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---
name: textile-process-controller
description: "Occupational skill for the role 'textile process controller' (also: textile process supervisor, textile process coordinator, textile process inspector, quality assurance supervisor, textile process controllers, textile process checker). Use when the user asks for typical textile process controller work such as: typical textile process controller responsibilities"
---
# Textile Process Controller
Textile process controllers perform textile process operations, technical functions in various aspects of design, production and quality control of textile products, and cost control for processes. They use computer aided manufacturing (CAM), and computer integrated manufacturing (CIM) tools in order to ensure conformity of entire production process to specifications. They compare and exchange individual processes with other departments (e.g. cost calculation office) and initiate appropriate actions. They analyse the structure and properties of raw materials used in textiles and assist to prepare specifications for their production, analyse and interpret test data.
## Core workflow
## How to use this skill
- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
## Key competences (essential)
- check quality of products in textile production line
- control textile process
- convert textile fibres into sliver
- evaluate textile characteristics
- health and safety in the textile industry
- maintain work standards
- properties of textile materials
- set-up weft knitting machines
- staple spinning machine technology
- test physical properties of textiles
- textile printing technology
- use textile finishing machine technologies
## Hot technologies
- Adobe Acrobat
- Atlassian JIRA
- C
- Extensible markup language XML
- Hypertext markup language HTML
- JavaScript
- Microsoft Access
- Microsoft ASP.NET
- Microsoft Excel
- Microsoft Office software
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/745c8bb3-b50b-4380-9377-1b68a6576986), O*NET 30.3 (19-4099.01, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "textile-process-controller",
"title": "textile process controller",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/745c8bb3-b50b-4380-9377-1b68a6576986",
"esco_code": "3119.18",
"isco_group": "3119",
"onet_soc": "19-4099.01",
"crosswalk_match": "manual nearest via ISCO 3119 (Quality Control Analysts)"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
"counts": {
"tasks": 0,
"dwas": 0,
"skills_essential": 12,
"skills_optional": 20,
"software": 0
},
"enrichment_ai_skills": {
"generated": "2026-07-14",
"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
"sources": {
"anthropics/skills": {
"repo": "https://github.com/anthropics/skills",
"commit": "f6656c1",
"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
"skills": 3
},
"NVIDIA/skills": {
"repo": "https://github.com/NVIDIA/skills",
"commit": "153b14b",
"license": "CC-BY-4.0 (skills/docs), Apache-2.0 (code)",
"skills": 12
},
"google/skills": {
"repo": "https://github.com/google/skills",
"commit": "b15f327",
"license": "Apache-2.0",
"skills": 12
},
"phuryn/pm-skills": {
"repo": "https://github.com/phuryn/pm-skills",
"commit": "18468a9",
"license": "MIT",
"skills": 9
},
"czlonkowski/n8n-skills": {
"repo": "https://github.com/czlonkowski/n8n-skills",
"commit": "9ea3aa5",
"license": "MIT",
"skills": 12
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 3
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 4
},
"eduardo-sl/go-agent-skills": {
"repo": "https://github.com/eduardo-sl/go-agent-skills",
"commit": "3c45d7f",
"license": "MIT",
"skills": 1
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 1
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 2
},
"muratcankoylan/Agent-Skills-for-Context-Engineering": {
"repo": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering",
"commit": "c578e85",
"license": "MIT",
"skills": 1
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 4
},
"snyk/agent-scan": {
"repo": "https://github.com/snyk/agent-scan",
"commit": "f3a4621",
"license": "Apache-2.0",
"skills": 1
},
"ThinkInAIXYZ/deepchat": {
"repo": "https://github.com/ThinkInAIXYZ/deepchat",
"commit": "f275c92",
"license": "Apache-2.0",
"skills": 1
},
"ViryaZheng/recomby-geo": {
"repo": "https://github.com/ViryaZheng/recomby-geo",
"commit": "530d5e2",
"license": "MIT",
"skills": 1
},
"syahiidkamil/Software-Engineer-AI-Agent-Atlas": {
"repo": "https://github.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas",
"commit": "fc0bf11",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 2
},
"googleworkspace/cli": {
"repo": "https://github.com/googleworkspace/cli",
"commit": "a3768d0",
"license": "Apache-2.0",
"skills": 1
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 1
},
"Kaelio/ktx": {
"repo": "https://github.com/Kaelio/ktx",
"commit": "49a4ae6",
"license": "Apache-2.0",
"skills": 2
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"parcadei/Continuous-Claude-v3": {
"repo": "https://github.com/parcadei/Continuous-Claude-v3",
"commit": "d07ff4b",
"license": "MIT",
"skills": 1
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 1
},
"hoangsonww/Claude-Code-Agent-Monitor": {
"repo": "https://github.com/hoangsonww/Claude-Code-Agent-Monitor",
"commit": "8f87ce1",
"license": "MIT",
"skills": 1
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 31,
"adjacent": 49
}
},
"provenance": {
"items": {
"esco": 33,
"onet": 101,
"jobads": 0,
"wiki_ai": 0,
"anthropic": 6,
"ai_skills": 152,
"stackx": 0
},
"share_percent": {
"esco": 11.3,
"onet": 34.6,
"jobads": 0.0,
"wiki_ai": 0.0,
"anthropic": 2.1,
"ai_skills": 52.1,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — textile-process-controller
Proven, publicly available AI agent skills mapped to this occupation.
Nothing is copied from the sources: every entry is a name, a one-line
summary and a link to the upstream skill package. Each section names
its source repository, commit, license and retrieval date.
**Tiers:** `core` = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; `adjacent` =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
_Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
## Source: anthropics/skills
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
| `xlsx` | adjacent | Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, … | [source](https://github.com/anthropics/skills/tree/main/skills/xlsx) |
## Source: a5c-ai/babysitter
- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `graph-modeler` | core | Convert problem descriptions into graph representations | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/algorithms-optimization/skills/graph-modeler) |
| `tech-writing-lint` | core | Automated technical writing style and quality enforcement. Lint documentation with Vale, check for inclusive language, enforce style guides, and analyze readability metrics. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/tech-writing-lint) |
## Source: affaan-m/everything-claude-code
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hermes-imports` | core | Convert local Hermes operator workflows into sanitized ECC skills and release-pack artifacts. Use when preparing a Hermes workflow for public ECC reuse without leaking private workspace state, credentials, or local-only paths. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/hermes-imports) |
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
- License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `frontend-design` | core | Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/frontend-design) |
| `review` | core | All quality reviews — routes to appropriate critics based on target file type and flags. Replaces /paper-excellence, /proofread, /econometrics-check, /review-r, /review-paper. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/16-hsantanna88-clo-author/dot-claude/skills/review) |
| `slide-excellence` | core | Multi-agent review for research presentation slides in the sewage-house-prices project (visual, econometric fidelity, proofreading, substance). Use for comprehensive quality check before milestones. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/41-sticerd-eee-sewage-econometrics-check/skills/slide-excellence) |
| `validate-bib` | core | Validate bibliography entries against citations in manuscript and Quarto book files. Find missing entries, unused references, potential typos, and quality issues. This skill should be used when asked to "check the bibliography", "validate … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/41-sticerd-eee-sewage-econometrics-check/skills/validate-bib) |
## Source: davila7/claude-code-templates
- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `lint-and-validate` | core | Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, static analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/lint-and-validate) |
| `interactive-portfolio` | core | Expert in building portfolios that actually land jobs and clients - not just showing work, but creating memorable experiences. Covers developer portfolios, designer portfolios, creative portfolios, and portfolios that convert visitors into … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/creative-design/interactive-portfolio) |
| `frontend-design` | core | Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/creative-design/frontend-design) |
## Source: eduardo-sl/go-agent-skills
- Repository: [https://github.com/eduardo-sl/go-agent-skills](https://github.com/eduardo-sl/go-agent-skills) (commit `3c45d7f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `go-dependency-audit` | core | Audit Go module dependencies: detect outdated packages, check for known vulnerabilities, review go.mod hygiene, identify unused or redundant deps, and evaluate dependency quality. Use when auditing dependencies, checking for CVEs, cleaning … | [source](https://github.com/eduardo-sl/go-agent-skills/tree/3c45d7f/skills/(workflow)/go-dependency-audit) |
## Source: foryourhealth111-pixel/Vibe-Skills
- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `visualization-best-practices` | core | Review chart choice, labeling, accessibility, and storytelling quality for existing visualizations. Use as an explicit/manual helper for critique and cleanup, not as the main owner for scientific figure production or general chart … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/visualization-best-practices) |
## Source: giuseppe-trisciuoglio/developer-kit
- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-md-management` | core | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |
## Source: googleworkspace/cli
- Repository: [https://github.com/googleworkspace/cli](https://github.com/googleworkspace/cli) (commit `a3768d0`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `gws-workflow-email-to-task` | core | Google Workflow: Convert a Gmail message into a Google Tasks entry. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/gws-workflow-email-to-task) |
## Source: hoangsonww/Claude-Code-Agent-Monitor
- Repository: [https://github.com/hoangsonww/Claude-Code-Agent-Monitor](https://github.com/hoangsonww/Claude-Code-Agent-Monitor) (commit `8f87ce1`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `quick-stats` | core | One-line summary of key Agent Monitor metrics — active sessions, total cost from the pricing engine, events today from daily_events, top tool from tool_usage, and current model from the most recent session. Use for a fast at-a-glance check … | [source](https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/8f87ce1/plugins/ccam-dashboard/skills/quick-stats) |
## Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `perplexity-observability` | core | Set up monitoring for Perplexity Sonar API with latency, cost, citation quality, and error tracking. Use when implementing monitoring dashboards, setting up alerts, or tracking Perplexity API health in production. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/perplexity-pack/skills/perplexity-observability) |
| `file-to-code` | core | Generates production-ready code from file specifications such as CSV files, JSON schemas, SQL DDL, protobuf definitions, or requirements documents. Use when the user wants to convert a data file or specification into working code. Trigger … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/skill-enhancers/file-to-code/skills/file-to-code) |
| `anima-prod-checklist` | core | Production readiness checklist for Anima design-to-code pipelines. Use when deploying automated design-to-code services, preparing CI/CD Figma-to-code automation, or validating output quality before production. Trigger: "anima production", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/anima-pack/skills/anima-prod-checklist) |
| `flyio-sdk-patterns` | adjacent | Apply production-ready Fly.io Machines API patterns for TypeScript with typed clients, machine lifecycle management, and multi-region orchestration. Trigger: "fly.io Machines API", "fly.io SDK patterns", "fly.io API client". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/flyio-pack/skills/flyio-sdk-patterns) |
## Source: Kaelio/ktx
- Repository: [https://github.com/Kaelio/ktx](https://github.com/Kaelio/ktx) (commit `49a4ae6`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `historic_sql_table_digest` | core | Convert one changed historic-SQL table usage bucket into typed table usage evidence for deterministic _schema projection. | [source](https://github.com/Kaelio/ktx/tree/49a4ae6/packages/cli/src/skills/historic_sql_table_digest) |
| `metabase_ingest` | core | Convert Metabase questions, models, and metrics into ktx Semantic Layer source definitions. Covers result-metadata to KSL column type mapping, FK/PK detection, near-duplicate deduplication, pre-aggregation decomposition, join-graph … | [source](https://github.com/Kaelio/ktx/tree/49a4ae6/packages/cli/src/skills/metabase_ingest) |
## Source: mohitagw15856/pm-claude-skills
- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `agent-observability-spec` | core | Specify the tracing, metrics, and alerting for an AI agent or LLM feature in production. Use when asked what to log for an LLM app, design agent tracing or spans, define quality and cost monitors, or answer 'how do we know if the agent is … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-agentops/skills/agent-observability-spec) |
| `dashboard-brief` | core | Convert a business question into a complete dashboard specification. Use when asked to design a dashboard, create a dashboard spec or brief, plan a BI report, or define what charts and metrics a dashboard should include. Produces a … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-data/skills/dashboard-brief) |
## Source: muratcankoylan/Agent-Skills-for-Context-Engineering
- Repository: [https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering) (commit `c578e85`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `evaluation` | core | This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines. | [source](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/c578e85/skills/evaluation) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-production-readiness` | core | Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-production-readiness) |
## Source: parcadei/Continuous-Claude-v3
- Repository: [https://github.com/parcadei/Continuous-Claude-v3](https://github.com/parcadei/Continuous-Claude-v3) (commit `d07ff4b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `qlty-check` | core | Code quality checks, formatting, and metrics via qlty CLI | [source](https://github.com/parcadei/Continuous-Claude-v3/tree/d07ff4b/.claude/skills/qlty-check) |
## Source: snyk/agent-scan
- Repository: [https://github.com/snyk/agent-scan](https://github.com/snyk/agent-scan) (commit `f3a4621`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `frontend-design` | core | Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, … | [source](https://github.com/snyk/agent-scan/tree/f3a4621/tests/skills/frontend-design) |
## Source: syahiidkamil/Software-Engineer-AI-Agent-Atlas
- Repository: [https://github.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas](https://github.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas) (commit `fc0bf11`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `frontend-design` | core | Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, … | [source](https://github.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas/tree/fc0bf11/.claude/skills/frontend-design) |
## Source: ThinkInAIXYZ/deepchat
- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `frontend-design` | core | Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, … | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/frontend-design) |
## Source: vibeeval/vibecosystem
- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `qlty-check` | core | Code quality checks, formatting, and metrics via qlty CLI | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/qlty-check) |
## Source: ViryaZheng/recomby-geo
- Repository: [https://github.com/ViryaZheng/recomby-geo](https://github.com/ViryaZheng/recomby-geo) (commit `530d5e2`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `frontend-design` | core | Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, … | [source](https://github.com/ViryaZheng/recomby-geo/tree/530d5e2/plugins/recomby-geo/skills/frontend-design) |
## Source: zebbern/claude-code-guide
- Repository: [https://github.com/zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (commit `d2c5280`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `sql-insight` | core | Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. Triggered when users ask to convert questions into SQL, improve slow queries, tune indexes, analyze execution plans, or … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/sql-insight) |
## Source: google/skills
- Repository: [https://github.com/google/skills](https://github.com/google/skills) (commit `b15f327`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `bigquery-ai-ml` | adjacent | Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-ai-ml) |
| `google-analytics-admin-api-basics` | adjacent | Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-admin-api-basics) |
| `google-analytics-data-api-basics` | adjacent | Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-data-api-basics) |
| `agent-platform-alert-configuration` | adjacent | Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-alert-configuration) |
| `agent-platform-eval-flywheel` | adjacent | Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-eval-flywheel) |
| `alloydb-basics` | adjacent | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/alloydb-basics) |
| `bigquery-basics` | adjacent | Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-basics) |
| `bigtable-basics` | adjacent | Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigtable-basics) |
| `cloud-sql-basics` | adjacent | This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/cloud-sql-basics) |
| `datalineage-bigquery-asset-impact-analysis` | adjacent | Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/datalineage-bigquery-asset-impact-analysis) |
| `gke-observability` | adjacent | Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/gke-observability) |
| `google-cloud-networking-observability` | adjacent | Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/google-cloud-networking-observability) |
## Source: czlonkowski/n8n-skills
- Repository: [https://github.com/czlonkowski/n8n-skills](https://github.com/czlonkowski/n8n-skills) (commit `9ea3aa5`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `n8n-self-hosting` | adjacent | Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-self-hosting) |
| `n8n-error-handling` | adjacent | Wire n8n error handling so failures are loud, structured, and recoverable. Use when building any webhook/API workflow, a scheduled or unattended workflow, or any path where a silent failure would drop user-visible work — and whenever the … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-error-handling) |
| `n8n-agents` | adjacent | Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extractor — and whenever the user mentions AI agents, LLM with tools, tool … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-agents) |
| `n8n-binary-and-data` | adjacent | Handle files and binary data in n8n correctly. Use when working with files, images, PDFs, attachments, uploads or downloads, base64, vision/multimodal input, or when an AI agent needs a file as tool input or output — and whenever the user … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-binary-and-data) |
| `n8n-code-javascript` | adjacent | Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-code-javascript) |
| `n8n-code-python` | adjacent | Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. Use this skill when the user specifically … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-code-python) |
| `n8n-code-tool` | adjacent | Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-code-tool) |
| `n8n-expression-syntax` | adjacent | Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, mapping data between nodes, or referencing webhook data in … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-expression-syntax) |
| `n8n-mcp-tools-expert` | adjacent | Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-mcp-tools-expert) |
| `n8n-multi-instance` | adjacent | Use when an n8n-mcp account targets more than one n8n instance — i.e. the `n8n_instances` tool is available, the user mentions multiple n8n instances or environments (prod vs staging, several teams or clients), a workflow / datatable / … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-multi-instance) |
| `n8n-node-configuration` | adjacent | Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type. … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-node-configuration) |
| `n8n-subworkflows` | adjacent | Build reusable, composable n8n sub-workflows. Use when extracting shared logic, building anything multi-step or reused across workflows, or any workflow over ~10 nodes — and whenever the user mentions sub-workflows, Execute Workflow, … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-subworkflows) |
## Source: NVIDIA/skills
- Repository: [https://github.com/NVIDIA/skills](https://github.com/NVIDIA/skills) (commit `153b14b`, retrieved 2026-07-14)
- License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deepstream-dev` | adjacent | NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/deepstream-dev) |
| `nemo-evaluator-plugin` | adjacent | Use when working on the Evaluator plugin CLI, jobs, SDK-backed specs, metric types, or plugin-owned Evaluator skills. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-evaluator-plugin) |
| `nv-reason-cxr` | adjacent | Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nv-reason-cxr) |
| `tao-train-depth-anything-v2` | adjacent | Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-depth-anything-v2) |
| `tao-train-metric-learning-recognition` | adjacent | Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-metric-learning-recognition) |
| `tao-train-reid` | adjacent | Person re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-reid) |
| `vss-generate-video-calibration` | adjacent | Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-calibration) |
| `vss-generate-video-report` | adjacent | Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-report) |
| `vss-manage-alerts` | adjacent | Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-manage-alerts) |
| `vss-query-analytics` | adjacent | Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-query-analytics) |
| `vss-setup-behavior-analytics` | adjacent | Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-behavior-analytics) |
| `vss-setup-video-analytics-api` | adjacent | Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-video-analytics-api) |
## Source: phuryn/pm-skills
- Repository: [https://github.com/phuryn/pm-skills](https://github.com/phuryn/pm-skills) (commit `18468a9`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ab-test-analysis` | adjacent | Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/ab-test-analysis) |
| `dummy-dataset` | adjacent | Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-execution/skills/dummy-dataset) |
| `cohort-analysis` | adjacent | Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/cohort-analysis) |
| `gtm-strategy` | adjacent | Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-go-to-market/skills/gtm-strategy) |
| `lean-canvas` | adjacent | Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue. Use when exploring a lean startup canvas, testing a business hypothesis, or modeling a new venture. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/lean-canvas) |
| `metrics-dashboard` | adjacent | Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-discovery/skills/metrics-dashboard) |
| `north-star-metric` | adjacent | Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-marketing-growth/skills/north-star-metric) |
| `product-strategy` | adjacent | Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility. Use when building a product strategy, creating … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/product-strategy) |
| `sql-queries` | adjacent | Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/sql-queries) |

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# Occupation profile — textile process controller
- **ESCO URI:** http://data.europa.eu/esco/occupation/745c8bb3-b50b-4380-9377-1b68a6576986
- **ESCO code:** 3119.18
- **ISCO-08 group:** 3119 — Physical and engineering science technicians not elsewhere classified
## Description (ESCO)
Textile process controllers perform textile process operations, technical functions in various aspects of design, production and quality control of textile products, and cost control for processes. They use computer aided manufacturing (CAM), and computer integrated manufacturing (CIM) tools in order to ensure conformity of entire production process to specifications. They compare and exchange individual processes with other departments (e.g. cost calculation office) and initiate appropriate actions. They analyse the structure and properties of raw materials used in textiles and assist to prepare specifications for their production, analyse and interpret test data.
## Definition
nan
## Alternative labels
- textile process supervisor
- textile process coordinator
- textile process inspector
- quality assurance supervisor
- textile process controllers
- textile process checker

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# Competences — textile process controller
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/745c8bb3-b50b-4380-9377-1b68a6576986).
## Essential
- **check quality of products in textile production line** (skill/competence)
- **control textile process** (skill/competence)
- **convert textile fibres into sliver** (skill/competence)
- **evaluate textile characteristics** (skill/competence)
- **health and safety in the textile industry** (knowledge)
- **maintain work standards** (skill/competence)
- **properties of textile materials** (knowledge)
- **set-up weft knitting machines** (skill/competence)
- **staple spinning machine technology** (knowledge)
- **test physical properties of textiles** (skill/competence)
- **textile printing technology** (knowledge)
- **use textile finishing machine technologies** (skill/competence)
## Optional
- braiding technology (knowledge)
- conduct textile testing operations (skill/competence)
- covert slivers into thread (skill/competence)
- knitting machine technology (knowledge)
- manufacture braided products (skill/competence)
- manufacture knitted textiles (skill/competence)
- manufacture non-woven filament products (skill/competence)
- manufacture nonwoven staple products (skill/competence)
- manufacture staple yarns (skill/competence)
- manufacture texturised filament yarns (skill/competence)
- manufacture woven fabrics (skill/competence)
- nonwoven machine technology (knowledge)
- process man-made fibres (skill/competence)
- research and development in textiles (knowledge)
- textile chemistry (knowledge)
- textile finishing technology (knowledge)
- use warp knitting technologies (skill/competence)
- use warp preparation technologies (skill/competence)
- use weaving machine technologies (skill/competence)
- use weft preparation technologies (skill/competence)

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# Tasks & work activities — textile process controller
Source: O*NET 30.3, occupation 19-4099.01 (Quality Control Analysts) — manual nearest-occupation mapping via ISCO group 3119; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Train other analysts to perform laboratory procedures and assays.
- **[Core]** Perform visual inspections of finished products.
- **[Core]** Serve as a technical liaison between quality control and other departments, vendors, or contractors.
- **[Core]** Participate in internal assessments and audits as required.
- **[Core]** Identify and troubleshoot equipment problems.
- **[Supplemental]** Evaluate new technologies and methods to make recommendations regarding their use.
- **[Core]** Ensure that lab cleanliness and safety standards are maintained.
- **[Supplemental]** Develop and qualify new testing methods.
- **[Supplemental]** Coordinate testing with contract laboratories and vendors.
- **[Core]** Write technical reports or documentation, such as deviation reports, testing protocols, and trend analyses.
- **[Core]** Write or revise standard quality control operating procedures.
- **[Core]** Supply quality control data necessary for regulatory submissions.
- **[Core]** Receive and inspect raw materials.
- **[Supplemental]** Review data from contract laboratories to ensure accuracy and regulatory compliance.
- **[Supplemental]** Prepare or review required method transfer documentation including technical transfer protocols or reports.
- **[Core]** Perform validations or transfers of analytical methods in accordance with applicable policies or guidelines.
- **[Core]** Participate in out-of-specification and failure investigations and recommend corrective actions.
- **[Core]** Monitor testing procedures to ensure that all tests are performed according to established item specifications, standard test methods, or protocols.
- **[Core]** Investigate or report questionable test results.
- **[Core]** Interpret test results, compare them to established specifications and control limits, and make recommendations on appropriateness of data for release.
- **[Core]** Identify quality problems and recommend solutions.
- **[Core]** Evaluate analytical methods and procedures to determine how they might be improved.
- **[Core]** Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms.
- **[Core]** Calibrate, validate, or maintain laboratory equipment.
- **[Core]** Compile laboratory test data and perform appropriate analyses.
- **[Core]** Conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples.
## Detailed work activities
- Advise others on business or operational matters.
- Advise others on the development or use of new technologies.
- Analyze test results.
- Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
- Calibrate scientific or technical equipment.
- Conduct financial or regulatory audits.
- Conduct quantitative failure analyses of operational data.
- Coordinate activities with suppliers, contractors, clients, or other departments.
- Determine appropriate methods for data analysis.
- Develop collaborative relationships between departments or with external organizations.
- Develop testing routines or procedures.
- Establish standards for products, processes, or procedures.
- Evaluate new technologies or methods.
- Evaluate quality of materials or products.
- Inspect areas for compliance with sanitation standards.
- Interpret research or operational data.
- Maintain laboratory or technical equipment.
- Monitor operational procedures in technical environments to ensure conformance to standards.
- Prepare information or documentation related to legal or regulatory matters.
- Prepare operational reports.
- Record research or operational data.
- Test quality of materials or finished products.
- Train personnel in technical or scientific procedures.
- Verify accuracy of data.

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# Tools & technology — textile process controller
Source: O*NET 30.3, occupation 19-4099.01 (Quality Control Analysts) — manual nearest-occupation mapping via ISCO group 3119; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Adobe Acrobat | Document management software | yes |
| Atlassian JIRA | Content workflow software | yes |
| C | Development environment software | yes |
| Extensible markup language XML | Enterprise application integration software | yes |
| Hypertext markup language HTML | Web platform development software | yes |
| JavaScript | Web platform development software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Microsoft ASP.NET | Web platform development software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Project | Project management software | yes |
| Microsoft SharePoint | Document management software | yes |
| Microsoft SQL Server | Data base user interface and query software | yes |
| Microsoft Visio | Process mapping and design software | yes |
| Microsoft Visual Basic | Development environment software | yes |
| Microsoft Windows | Operating system software | yes |
| Microsoft Word | Word processing software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| Selenium | Program testing software | yes |
| Structured query language SQL | Data base user interface and query software | yes |
| The MathWorks MATLAB | Analytical or scientific software | yes |
| Borland SilkTest | Program testing software | |
| Code profilers | Program testing software | |
| Database software | Data base user interface and query software | |
| dBASE | Data base user interface and query software | |
| Eko | Desktop communications software | |
| FileMaker Pro | Data base user interface and query software | |
| Hewlett Packard LoadRunner | Program testing software | |
| Hewlett Packard QuickTest Professional | Program testing software | |
| IBM Notes | Electronic mail software | |
| IBM Rational Functional Tester | Program testing software | |
| IBM Rational Robot | Program testing software | |
| Laboratory information management system LIMS | Analytical or scientific software | |
| LabWare LIMS | Analytical or scientific software | |
| Micro Focus TestPartner | Program testing software | |
| Microsoft Internet Explorer | Internet browser software | |
| Microsoft Internet Information Services (IIS) | Transaction server software | |
| Microsoft Visual Studio Test Professional | Program testing software | |
| Minitab | Analytical or scientific software | |
| National Instruments LabVIEW | Development environment software | |
| Parasoft SOAtest | Program testing software | |
| Relational database management software | Data base management system software | |
| SAP BusinessObjects Crystal Reports | Data base reporting software | |
| SmartBear Software AutomatedQA TestComplete | Program testing software | |
| SmugMug Flickr | Graphics or photo imaging software | |
| Sparta Systems TrackWise | Compliance software | |
| Test automation software | Analytical or scientific software | |
| Watir | Program testing software | |