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monk-nun/references/ai-skills.md
skillfactor-pipeline 333cc4a369 feat: monk-nun skill package v0.1.0
2026-08-15 16:26:57 +02:00

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External AI agent skills — monk-nun

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
nsight-profiler adjacent 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
Memory Allocator adjacent Expert skill for custom memory allocator design optimized for language runtime needs source
SSA/IR Design adjacent Expert skill for designing intermediate representations and implementing SSA construction source
Stakeholder Communication adjacent Generate stakeholder-specific communications and presentations for product updates source

Source: affaan-m/everything-claude-code

Skill Tier What it adds Upstream
agent-architecture-audit adjacent Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with … 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: alirezarezvani/claude-skills

Skill Tier What it adds Upstream
contract-and-proposal-writer adjacent Generate professional, jurisdiction-aware business documents: freelance contracts, project proposals, SOWs, NDAs, and MSAs. Structured Markdown output with docx conversion instructions. Covers US (Delaware), EU (GDPR), UK, and DACH (German … source
promote adjacent Graduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement. Use when the user runs /si:promote or asks to make a learned behavior permanent. source
self-improving-agent adjacent Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what … source

Source: basicmachines-co/basic-memory

Skill Tier What it adds Upstream
bm-share adjacent Promote a note from your personal Basic Memory project to a shared team project, with attribution. Use when the user says "share this with the team", "publish this decision", or runs /basic-memory:bm-share. This is the deliberate way to … source
memory-curate adjacent Curate the Basic Memory knowledge graph: find orphan notes and suggest links, propose typed relations, merge duplicates, audit tags and folders, and build hub notes. Use to organize, connect, and improve a knowledge base as notes … source
memory-notes adjacent How to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for building a rich knowledge graph. Use when creating or improving notes. source
memory-onboarding adjacent Guide someone new to Basic Memory through designing and building a complete personal knowledge system — interview them about what they want to track, propose a structure, build it with schemas and instruction notes, teach them to use it, … source

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

Skill Tier What it adds Upstream
beamer-presentation-guide adjacent Guide to creating academic presentations with LaTeX Beamer source
chatpaper-guide adjacent Use ChatPaper to summarize and search arXiv papers with LLM assistance 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
marp-export adjacent Export Marp slide markdown files to PDF (default), HTML, PPTX, or PNG. Handles theme loading, Chrome/Chromium detection for PDF export, and batch conversion. Trigger when user says "export slides", "convert marp to pdf", "marp export", … source
new-slide-deck adjacent Creates a Quarto revealjs slide deck in slides/ with the project style guide. Use when a presentation is needed. source
obsidian-citation-guide adjacent Citation plugin for Obsidian note-taking with BibTeX support source
running-causalpy-experiments adjacent Fit, summarize, plot, and interpret a chosen CausalPy experiment. Use after the causal method has been selected, including when configuring PyMC/sklearn models and scale-aware custom priors. source
tensorflow-guide adjacent TensorFlow best practices for tf.function, GPU memory, and deployment source
zotero-ai-butler-guide adjacent AI-powered paper summarization plugin for Zotero source
zotero-better-notes-guide adjacent Guide to Zotero Better Notes for comprehensive note-taking in research source
a1 adjacent VS-Enhanced Research Question Refiner - Prevents Mode Collapse and derives differentiated research questions Enhanced VS 3-Phase process: Modal question avoidance, alternatives presentation, differentiated RQ recommendation Use when: … source
a2 adjacent VS-Enhanced Theoretical Framework Architect with Critique & Visualization Full VS 5-Phase process: Modal theory avoidance, Long-tail exploration, differentiated framework presentation Absorbed A3 (Devil's Advocate) critique and A6 … source

Source: ComPDFKit/compdf-skills

Skill Tier What it adds Upstream
pdf-to-word-docx adjacent PDF to Word converts PDF to editable Word/DOCX with AI-powered layout analysis and table recognition, built on ComPDF Conversion SDK to better preserve tables, multi-column layouts, lists, and images for downstream editing. It fits … source

Source: davila7/claude-code-templates

Skill Tier What it adds Upstream
code-review-excellence adjacent Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. source
Excel Analysis adjacent Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. source
agent-memory-mcp adjacent A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). source
agent-memory-systems adjacent Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures … source

Source: Devin-AXIS/iPolloWork

Skill Tier What it adds Upstream
acme-research adjacent Search and summarize material from the Acme research service. source

Source: elementalsouls/Claude-BugHunter

Skill Tier What it adds Upstream
report-writing adjacent Bug bounty report writing for H1/Bugcrowd/Intigriti/Immunefi — report templates, human tone guidelines, impact-first writing, CVSS 3.1 scoring, title formula, impact statement formula, severity decision guide, downgrade counters, … source

Source: Gabberflast/academic-pptx-skill

Skill Tier What it adds Upstream
academic-pptx adjacent Use this skill whenever the user wants to create or improve a presentation for an academic context — conference papers, seminar talks, thesis defenses, grant briefings, lab meetings, invited lectures, or any presentation where the audience … source

Source: hypnguyen1209/offensive-claude

Skill Tier What it adds Upstream
ai-agent-redteam adjacent Use when red-teaming an agentic AI / LLM application — indirect & zero-click prompt injection, MCP tool poisoning, persistent memory poisoning, excessive-agency tool abuse, multi-turn jailbreaks, PyRIT/Garak/Promptfoo harnesses 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
161-java-profiling-detect adjacent Use when you need to set up Java application profiling to detect and measure performance issues — including trusted preinstalled async-profiler v4.x setup, problem-driven profiling (CPU, memory, threading, GC, I/O), interactive profiling … source
162-java-profiling-analyze adjacent Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence … 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
adobe-core-workflow-b adjacent Execute Adobe PDF Services workflow: create PDFs from HTML/DOCX, extract text/tables, document generation from templates, and PDF-to-Markdown conversion. Use when building document automation, extracting content from PDFs, or generating … source
adk-deployment-specialist adjacent Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestrate agents". Trigger with phrases like … source

Source: microsoft/power-platform-skills

Skill Tier What it adds Upstream
add-ai-webapi adjacent Integrates Power Pages generative-AI summarization APIs (PREVIEW) into a Single Page Application (SPA) site — the Search Summary API and the Data Summarization API — on any record-detail or list page. Generates per-target service code … source
add-excel adjacent Adds Excel Online (Business) connector to a Power Apps code app. Use when reading or writing Excel workbook data from OneDrive or SharePoint. source
add-office365 adjacent 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
continual-learning adjacent Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents. source

Source: mohitagw15856/pm-claude-skills

Skill Tier What it adds Upstream
docs-quickstart adjacent Write a 'get started in 5 minutes' quickstart for a tool, library, or API. Use when asked to write a quickstart, getting-started guide, or onboarding docs for developers. Produces a copy-paste-friendly quickstart that takes a developer … source

Source: nanocoai/nanoclaw

Skill Tier What it adds Upstream
add-gcal-tool adjacent Add Google Calendar as an MCP tool (list calendars, list/search/create events, free/busy queries) using OneCLI-managed OAuth. Multi-calendar and multi-account supported. Mirrors /add-gmail-tool's stub pattern — no raw credentials ever … source
add-mnemon adjacent Add persistent graph-based memory via mnemon. Agents recall past context before responding and remember insights after each turn. source

Source: pcliangx/AppGenesisForge

Skill Tier What it adds Upstream
agf-writing-docx-reports adjacent 用 docx-js 写"阅读友好的中文 docx 报告"（决议书 / 评审报告 / 调研 / 分析 / 投标书等高密度报告型文档）。当用户要求把 markdown 内容转 docx 且抱怨"格式混乱 / 不专业 / 看不下去"时启用——pandoc 默认转换难以满足。提供：路径决策 / 设计 token / 可复用 helper 全套 / 11 个 pitfall / 生成-预览闭环。 source
agf-writing-pptx-reports adjacent 用 python-pptx 写"现代化中文制度 / 党政 / 企业宣贯 PPT"（含决议书提报、评审报告、管理办法、培训宣贯等 23 页量级 deck）。当用户要求程序化生成 PPT 且抱怨"老土 / 字体丑 / 表格乱 / 文字溢出 / 中文字体 fallback / 缺架构图"时启用——python-pptx 默认 API 一堆坑必须主动避开。提供：路径决策 / 设计 token / 12 个 helper 全套 / 7 个致丑反模式 / 12 个关键技巧 / … source

Source: pedrohcgs/claude-code-my-workflow

Skill Tier What it adds Upstream
promote-memory adjacent 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: ruvnet/claude-code-flow

Skill Tier What it adds Upstream
harness-evolve adjacent Run @metaharness/darwin evolve <repo> to mutate a harness's seven policy surfaces (planner/contextBuilder/reviewer/retryPolicy/toolPolicy/memoryPolicy/scorePolicy), sandbox-score each variant, and promote only measured wins. The model is … 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
AgentDB Performance Optimization adjacent Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. source
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
ReasoningBank with AgentDB adjacent Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing … source
V3 Memory Unification adjacent Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). source
V3 Performance Optimization adjacent Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite. source
agent-memory-coordinator adjacent Agent skill for memory-coordinator - invoke with $agent-memory-coordinator source
agent-swarm-memory-manager adjacent Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager source
agent-v3-memory-specialist adjacent Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist source

Source: ruvnet/ruflo

Skill Tier What it adds Upstream
harness-evolve adjacent Run @metaharness/darwin evolve <repo> to mutate a harness's seven policy surfaces (planner/contextBuilder/reviewer/retryPolicy/toolPolicy/memoryPolicy/scorePolicy), sandbox-score each variant, and promote only measured wins. The model is … 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
AgentDB Performance Optimization adjacent Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. source
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
ReasoningBank with AgentDB adjacent Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing … source
V3 Memory Unification adjacent Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). source
V3 Performance Optimization adjacent Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite. source
agent-memory-coordinator adjacent Agent skill for memory-coordinator - invoke with $agent-memory-coordinator source
agent-swarm-memory-manager adjacent Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager source
agent-v3-memory-specialist adjacent Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist source

Source: ThinkInAIXYZ/deepchat

Skill Tier What it adds Upstream
memory-management adjacent Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape. source

Source: trailofbits/skills

Skill Tier What it adds Upstream
address-sanitizer adjacent AddressSanitizer detects memory errors during fuzzing. Use when fuzzing C/C++ code to find buffer overflows and use-after-free bugs. source

Source: VoltAgent/voltagent

Skill Tier What it adds Upstream
Workspace Data Analyst adjacent Analyze CSV files in the workspace and summarize insights. source

Source: WenyuChiou/agent-collab-skills

Skill Tier What it adds Upstream
agent-context-budget adjacent Use when multi-agent work risks context overflow, memory growth, noisy logs, oversized handoffs, cross-session continuation, or parallel Codex and Gemini execution. source
agent-shared-memory adjacent Use when the user asks to update shared memory, initialize multi-agent memory, summarize decisions so far, identify open questions, or prepare a fresh session primer. source

Source: XiaoMaColtAI/math-modeling-skill

Skill Tier What it adds Upstream
DOCX工具 adjacent 创建、编辑、校验和转换 Word DOCX，支持把完整 LaTeX 论文转换为 DOCX，以及数学建模论文模板、原生公式、三线表、修订和批注。 source
Excel工具 adjacent 读取、创建、修改和验证 XLSX，支持模板保留、公式重算和错误检查。 source
LaTeX工具 adjacent 从官方或内置模板创建、编译和校验数学建模 LaTeX 论文项目，并可配合 DOCX 工具把完整 LaTeX 论文转换为 Word。 source