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hazardous-waste-technician/references/ai-skills.md
skillfactor-pipeline 01a61b0195 feat: hazardous-waste-technician skill package v0.1.0
2026-08-15 15:42:38 +02:00

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External AI agent skills — hazardous-waste-technician

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
context-engineering adjacent Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning. source
memory-summarization adjacent Conversation summarization for memory compression and context management source
translation-management adjacent Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. source
unity-addressables adjacent Unity Addressables asset management skill for remote catalogs, content updates, asset bundles, and memory-efficient asset loading. source

Source: aaron-he-zhu/aaron-marketing-skills

Skill Tier What it adds Upstream
memory-management adjacent Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while … source

Source: affaan-m/everything-claude-code

Skill Tier What it adds Upstream
investor-materials adjacent Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or … source
knowledge-ops adjacent Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge … source
agentic-os adjacent Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. source

Source: alinaqi/claude-bootstrap

Skill Tier What it adds Upstream
session-management adjacent Context preservation, tiered summarization, resumability source

Source: alirezarezvani/claude-skills

Skill Tier What it adds Upstream
ceo-advisor adjacent Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making … source
compliance-readiness adjacent /cs:compliance-readiness — Multi-framework compliance officer 6-question forcing interrogation of any compliance program. Use before starting a new framework, planning the annual audit calendar, or preparing for certification … source
founder-coach adjacent Personal leadership development for founders and first-time CEOs. Covers founder archetype identification, delegation frameworks, energy management, CEO calendar audits, leadership style evolution, blind spot identification, imposter … source

Source: basicmachines-co/basic-memory

Skill Tier What it adds Upstream
memory-schema adjacent Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift. Use when working with structured note types (Task, Person, Meeting, etc.) to … source
memory-tasks adjacent Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph. source

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

Skill Tier What it adds Upstream
hud adjacent Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings source

Source: davepoon/buildwithclaude

Skill Tier What it adds Upstream
outlook-automation core Automate Outlook tasks via Rube MCP (Composio): emails, calendar, contacts, folders, attachments. Always search tools first for current schemas. source
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
pdf adjacent Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF … source
google-calendar-automation adjacent Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically. source

Source: davila7/claude-code-templates

Skill Tier What it adds Upstream
it-operations adjacent Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence … source
langchain adjacent Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … source
treatment-plans adjacent Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … source
agent-memory-mcp adjacent A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). source
c-pro adjacent Write efficient C code with proper memory management, pointer source
context-window-management adjacent Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context. source
gptq adjacent 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 adjacent 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 adjacent 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 adjacent Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: foryourhealth111-pixel/Vibe-Skills

Skill Tier What it adds Upstream
treatment-plans adjacent Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … source
unsloth adjacent Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: giuseppe-trisciuoglio/developer-kit

Skill Tier What it adds Upstream
memory-md-management adjacent 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

Source: googleworkspace/cli

Skill Tier What it adds Upstream
recipe-share-event-materials adjacent Share Google Drive files with all attendees of a Google Calendar event. 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: jeffallan/claude-skills

Skill Tier What it adds Upstream
rust-engineer adjacent Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling … source

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

Skill Tier What it adds Upstream
granola-install-auth core Install and configure Granola AI meeting notes with calendar and audio permissions. Use when setting up Granola for the first time, connecting Google/Outlook calendars, granting macOS Screen Recording permission, or configuring Windows … source
twinmind-data-handling adjacent Handle TwinMind meeting data with GDPR compliance: transcript storage, memory vault management, data export, and deletion policies. Use when implementing data handling, or managing TwinMind meeting AI operations. Trigger with phrases like … source
notion-load-scale adjacent High-volume Notion operations: parallel requests within 3 req/sec, worker queues, database pagination at scale, incremental sync for large workspaces, and memory management for bulk operations. Trigger with phrases like "notion scale", … source
apify-cost-tuning adjacent Optimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger: "apify cost", … source
cursor-context-management adjacent Optimize context window usage in Cursor with @-mentions, context pills, and conversation strategy. Triggers on "cursor context", "context window", "context limit", "cursor memory", "context management", "@-mentions", "context pills". source
evernote-core-workflow-a adjacent Execute Evernote primary workflow: Note Creation and Management. Use when creating notes, organizing content, managing notebooks, or implementing note-taking features. Trigger with phrases like "create evernote note", "evernote note … source
gamma-migration-deep-dive adjacent 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
memory-kit adjacent Persistent context management for Claude Code sessions. Save, load, update, share, and audit session memory via MEMORY.md. Prevents context loss on compaction or session restart. Use when starting a session, before compaction, syncing … source

Source: K-Dense-AI/claude-scientific-skills

Skill Tier What it adds Upstream
treatment-plans adjacent Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … source

Source: K-Dense-AI/scientific-agent-skills

Skill Tier What it adds Upstream
treatment-plans adjacent Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … source

Source: microsoft/power-platform-skills

Skill Tier What it adds Upstream
add-office365 core Adds Office 365 Outlook connector to a Power Apps code app. Use when accessing calendars, sending emails, reading inbox, or managing Outlook events. source

Source: microsoft/skills

Skill Tier What it adds Upstream
kql adjacent KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and … source
azure-ai-translation-document-py adjacent Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale. Triggers: "document translation", "batch translation", … 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
implementing-fuzz-testing-in-cicd-with-aflplusplus adjacent Integrate AFL++ coverage-guided fuzz testing into CI/CD pipelines to discover memory corruption, input handling, and logic vulnerabilities in C/C++ and compiled applications. source

Source: nexu-io/open-design

Skill Tier What it adds Upstream
pptx adjacent Read, generate, and adjust PowerPoint slides, layouts, and templates. Useful for executive decks, training material, and product reviews. source

Source: open-gitagent/opengap

Skill Tier What it adds Upstream
document-review core Reviews financial documents (prospectuses, ADVs, marketing materials) for FINRA 2210 compliance, required disclosures, and balanced presentation. Use when reviewing financial statements, audit documents, regulatory filings, or when the … source

Source: OpenRaiser/NanoResearch

Skill Tier What it adds Upstream
unsloth adjacent 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
langchain adjacent Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … source
gptq adjacent 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 adjacent 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 adjacent 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 adjacent 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 adjacent Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: Orkas-AI/Orkas-VideoStudio

Skill Tier What it adds Upstream
stage-decide adjacent The decision layer for real footage — understand → select → produce an EVIDENCE-bearing rough cut. Trigger when the EDIT task is "find / select / reduce / clean" (remove dead air, drop fillers, pick highlights, cut 1 hour to 3 minutes), … source

Source: ruvnet/claude-code-flow

Skill Tier What it adds Upstream
Hooks Automation adjacent 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
memory-management adjacent AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … source
AgentDB Memory Patterns adjacent Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. source

Source: ruvnet/ruflo

Skill Tier What it adds Upstream
Hooks Automation adjacent 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
memory-management adjacent AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … source
AgentDB Memory Patterns adjacent Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. source

Source: samber/cc-skills-golang

Skill Tier What it adds Upstream
golang-security adjacent Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, … source

Source: snyk/agent-scan

Skill Tier What it adds Upstream
pdf adjacent Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF … source

Source: ThinkInAIXYZ/deepchat

Skill Tier What it adds Upstream
pdf adjacent Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF … source
memory-management adjacent Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape. source

Source: vibeeval/vibecosystem

Skill Tier What it adds Upstream
knowledge-management adjacent Proje bilgisini 4 katmanli yapida organize et. Aktif projeler, sorumluluk alanlari, referans kaynaklar ve arsiv. Progressive summarization ile bilgiyi katman katman ozumse. Second brain pattern'i ile codebase bilgisini yapilandir. source

Source: wondelai/skills

Skill Tier What it adds Upstream
steve-jobs-design-review adjacent Review designs, products, and features with Steve Jobs'' standards: ruthless simplicity, focus, and end-to-end excellence. Use when the user mentions "Steve Jobs review", "design review", "product review", "what would Steve do", "insanely … source

Source: zechenzhangAGI/AI-research-SKILLs

Skill Tier What it adds Upstream
langchain adjacent Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … source
gptq adjacent 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 adjacent 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 adjacent 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 adjacent 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 adjacent Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source