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footwear-assembly-supervisor/references/ai-skills.md
skillfactor-pipeline 02cb5a9fe1 feat: footwear-assembly-supervisor skill package v0.1.0
2026-08-15 15:49:27 +02:00

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External AI agent skills — footwear-assembly-supervisor

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 (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
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
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

Source: a5c-ai/babysitter

Skill Tier What it adds Upstream
embedded-docs core Embedded firmware documentation generation and maintenance using Doxygen and related tools. Expert skill for API documentation, hardware interface documentation, memory maps, and integration with documentation systems. source
nsight-profiler core Expert skill for NVIDIA Nsight Systems and Nsight Compute profiling tools. Configure profiling sessions, analyze kernel reports, interpret occupancy metrics, roofline model data, memory bandwidth bottlenecks, and warp execution efficiency. source
gas-optimization adjacent Advanced gas optimization techniques for EVM smart contracts. Covers storage packing, memory vs calldata optimization, assembly/Yul, efficient data structures, batch operations, and benchmark-driven optimization strategies. source
SSA/IR Design adjacent Expert skill for designing intermediate representations and implementing SSA construction source

Source: brycewang-stanford/Auto-Empirical-Research-Skills

Skill Tier What it adds Upstream
system-profile core Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", … source
code-review-excellence adjacent This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review. source

Source: code-yeongyu/oh-my-openagent

Skill Tier What it adds Upstream
debugging adjacent MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: … source

Source: davepoon/buildwithclaude

Skill Tier What it adds Upstream
outlook-calendar-automation core Automate Outlook Calendar tasks via Rube MCP (Composio): create events, manage attendees, find meeting times, and handle invitations. Always search tools first for current schemas. source
outlook-automation core Automate Outlook tasks via Rube MCP (Composio): emails, calendar, contacts, folders, attachments. Always search tools first for current schemas. source
image-enhancer adjacent Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. source

Source: davila7/claude-code-templates

Skill Tier What it adds Upstream
gptq core Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … source
optimizing-attention-flash core Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … source
quantizing-models-bitsandbytes core Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … source
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source
crewai-multi-agent adjacent Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … source
serving-llms-vllm adjacent Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … source
image-enhancer adjacent Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. source

Source: dotnet/skills

Skill Tier What it adds Upstream
mcp-csharp-test core Test C# MCP servers at multiple levels: unit tests for individual tools and integration tests using the MCP client SDK. USE FOR: unit testing MCP tool methods, integration testing with in-memory MCP client/server, end-to-end testing via … source

Source: egorfedorov/claude-context-optimizer

Skill Tier What it adds Upstream
cco-overhead core Audit the fixed context overhead every session starts with — system prompt, MCP tools, agents, CLAUDE.md, memory — measured from real transcript usage source

Source: elementalsouls/Claude-BugHunter

Skill Tier What it adds Upstream
hunt-file-upload adjacent Hunt file upload bugs — RCE via webshell, XSS via SVG/HTML, SSRF via XXE in DOCX, path traversal via filename. Bypass tables (10 techniques): double extension (shell.php.jpg if server checks last ext only), magic bytes spoofing (PNG header … source

Source: foryourhealth111-pixel/Vibe-Skills

Skill Tier What it adds Upstream
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source
sentry adjacent Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require SENTRY_AUTH_TOKEN. source

Source: giuseppe-trisciuoglio/developer-kit

Skill Tier What it adds Upstream
graalvm-native-image core Provides expert guidance for building GraalVM Native Image executables from Java applications. Use when converting JVM applications to native binaries, optimizing cold start times, reducing memory footprint, configuring native build tools … source

Source: HeshamFS/materials-simulation-skills

Skill Tier What it adds Upstream
performance-profiling adjacent Identify computational bottlenecks, analyze parallel scaling, estimate memory requirements, and generate optimization recommendations for materials simulations — parse timing logs to find dominant phases (solver, assembly, I/O), evaluate … source

Source: hypnguyen1209/offensive-claude

Skill Tier What it adds Upstream
engagement-memory adjacent Use when recalling prior techniques at recon/weaponize, or recording a confirmed finding at report — cross-engagement pattern memory ranked by impact source

Source: infrasity-labs/dev-gtm-claude-skills

Skill Tier What it adds Upstream
brief-outline-generator adjacent Generates a fully structured SEO content outline (not a finished brief) and exports it as a formatted .docx Word document. The output is a skeleton for a writer to fill in — section headings, topic prompts, angles — not pre-written … source

Source: jabrena/plinth

Skill Tier What it adds Upstream
145-java-refactoring-high-performance adjacent Use when you need to refactor Java code for high performance — including memory/allocation reduction, CPU hot-path optimization, and syntax/API/control-flow improvements. This should trigger for requests such as Review Java code for high … source

Source: JasonColapietro/suede-creator-skills

Skill Tier What it adds Upstream
suede-instagram-growth adjacent Suede-owned Instagram growth operating system for account-specific audits, Reels, carousels, Stories, conversion mapping, calendars, and daily candidate-production loops. Use when the user names Instagram, IG, Reels, Stories, asks to … source

Source: jeremylongshore/claude-code-plugins-plus-skills

Skill Tier What it adds Upstream
twinmind-reference-architecture core Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. … source
mnemos core Persistent memory and learning-loop skills for AI coding agents using mnemos MCP tools. Use whenever mnemos_* MCP tools are available and you are doing work worth remembering. Cross-session memory, conventions, corrections, and … source
gamma-migration-deep-dive core Deep dive into migrating to Gamma from other presentation platforms. Use when migrating from PowerPoint, Google Slides, Canva, or other presentation tools to Gamma. Trigger with phrases like "gamma migration", "migrate to gamma", "gamma … source
granola-migration-deep-dive core Migrate to Granola from Otter.ai, Fireflies, Fathom, tl;dv, or manual note-taking. Covers data export from source tools, parallel-run strategy, team transition, and historical data preservation. Trigger: "migrate to granola", "switch to … source
maintainx-migration-deep-dive core Execute complete platform migrations to or from MaintainX. Use when migrating from legacy CMMS systems, performing major re-platforming, or transitioning to MaintainX from spreadsheets or other tools. Trigger with phrases like "migrate to … source
oraclecloud-sdk-patterns adjacent Production-grade OCI SDK patterns for client lifecycle, retry logic, and memory leak avoidance. Use when building long-running OCI services, fixing memory leaks with Instance Principal auth, or implementing retry/backoff. Trigger with "oci … source
twinmind-observability adjacent Monitor TwinMind transcription quality, meeting coverage, action item extraction rates, and memory vault health. Use when implementing observability, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind … source
vertex-engine-inspector adjacent Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. Generates production readiness scores. Use when asked to inspect, validate, or audit an … source
excel-macro-creator adjacent Create excel macro creator operations. Auto-activating skill for Business Automation. Triggers on: excel macro creator, excel macro creator Part of the Business Automation skill category. Use when working with excel macro creator … source
ink-calendar adjacent Build a content calendar — editorial plan, publishing cadence, topic assignment, and distribution workflow. Use when asked to "build a content calendar", "plan our content for the quarter", "how often should we publish", or "create an … source

Source: ljagiello/ctf-skills

Skill Tier What it adds Upstream
ctf-forensics adjacent Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, … source
ctf-pwn adjacent Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory corruption or low-level primitives into code execution or privilege escalation, such as … source

Source: mukul975/Anthropic-Cybersecurity-Skills

Skill Tier What it adds Upstream
analyzing-macro-malware-in-office-documents core Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … source
detecting-t1055-process-injection-with-sysmon adjacent Detect process injection techniques (T1055) including classic DLL injection, process hollowing, and APC injection by analyzing Sysmon events for cross-process memory operations, remote thread creation, and anomalous DLL loading patterns. source
analyzing-memory-dumps-with-volatility adjacent Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory … source
collecting-volatile-evidence-from-compromised-host adjacent Collect volatile forensic evidence from a compromised system following order of volatility, preserving memory, network connections, processes, and system state before they are lost. source
detecting-fileless-malware-techniques adjacent Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. … source
detecting-process-injection-techniques adjacent Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … source
detecting-rootkit-activity adjacent Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity … source
detecting-t1003-credential-dumping-with-edr adjacent Detect OS credential dumping techniques targeting LSASS memory, SAM database, NTDS.dit, and cached credentials using EDR telemetry, Sysmon process access monitoring, and Windows security event correlation. source
extracting-memory-artifacts-with-rekall adjacent Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract … source
performing-memory-forensics-with-volatility3 adjacent Analyze volatile memory dumps using Volatility 3 to extract running processes, network connections, loaded modules, and evidence of malicious activity. source
implementing-memory-protection-with-dep-aslr adjacent Implements memory protection mechanisms including DEP (Data Execution Prevention), ASLR (Address Space Layout Randomization), CFG (Control Flow Guard), and other exploit mitigations to prevent memory corruption attacks. Use when hardening … source

Source: nexu-io/open-design

Skill Tier What it adds Upstream
pptx core Read, generate, and adjust PowerPoint slides, layouts, and templates. Useful for executive decks, training material, and product reviews. source
pptx-generator adjacent Create and edit PowerPoint presentations from scratch with PptxGenJS — MiniMax's production-tested deck pipeline. source
image-enhancer adjacent Improve image and screenshot quality by enhancing resolution, sharpness, and clarity for professional presentations and documentation. source

Source: nWave-ai/nWave

Skill Tier What it adds Upstream
nw-production-readiness adjacent Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence. source

Source: OpenRaiser/NanoResearch

Skill Tier What it adds Upstream
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: Orchestra-Research/AI-research-SKILLs

Skill Tier What it adds Upstream
gptq core Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … source
optimizing-attention-flash core Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … source
pytorch-fsdp2 core Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … source
quantizing-models-bitsandbytes core Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … source
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source
crewai-multi-agent adjacent Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … source
serving-llms-vllm adjacent Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … source

Source: pedrohcgs/claude-code-my-workflow

Skill Tier What it adds Upstream
promote-memory core Review candidate [LEARN] entries in .claude/state/personal-memory.md (gitignored) and run them through a five-critic council in parallel: generality, staleness, redundancy, evidence, format. Majority vote (3+ of 5) promotes the entry … source

Source: qdrant/skills

Skill Tier What it adds Upstream
qdrant-monitoring-debugging core Diagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency spike', or 'search was fast now it's … source

Source: raintree-technology/apple-hig-skills

Skill Tier What it adds Upstream
hig-components-dialogs core Apple HIG guidance for presentation components including alerts, action sheets, popovers, sheets, and digit entry views. Use this skill when the user says "should I use an alert or a sheet," "how do I show a confirmation dialog," "when … source

Source: rockscy/solo-skills

Skill Tier What it adds Upstream
changelog-from-commits core Generate a user-facing CHANGELOG entry from raw git log output. Use when the user is preparing a release, says "what changed since last version", asks to write release notes, or wants to summarize a batch of commits for end users. source

Source: ruvnet/claude-code-flow

Skill Tier What it adds Upstream
Hooks Automation core Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … source

Source: ruvnet/ruflo

Skill Tier What it adds Upstream
Hooks Automation core Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … source

Source: ThinkInAIXYZ/deepchat

Skill Tier What it adds Upstream
feishu-tools core Use the Feishu/Lark plugin MCP tools for Feishu documents, spreadsheets, knowledge content, and other matching workspace operations. source

Source: zebbern/claude-code-guide

Skill Tier What it adds Upstream
dataset-quality-audit adjacent Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when … source

Source: zechenzhangAGI/AI-research-SKILLs

Skill Tier What it adds Upstream
gptq core Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … source
optimizing-attention-flash core Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … source
pytorch-fsdp2 core Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … source
quantizing-models-bitsandbytes core Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … source
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source
crewai-multi-agent adjacent Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … source
serving-llms-vllm adjacent Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … source