研究与知识

blucli

385Kresearch-knowledge

BluOS CLI (blu) for discovery, playback, grouping, and volume.

steipete

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gifgrep

384Kresearch-knowledge

Search GIF providers with CLI/TUI, download results, and extract stills/sheets.

steipete

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gog

383Kresearch-knowledge

Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.

steipete

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summarize

380Kresearch-knowledge

总结或转录URL、YouTube/视频、播客、文章、转录文本、PDF和本地文件。

steipete

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agent-architecture-audit

237Kresearch-knowledge

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 code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature.

affaan-m

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writing-skills

233Kresearch-knowledge

当需要创建新技能、编辑现有技能或在部署前验证技能是否正常工作时使用

obra

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knowledge-ops

232Kresearch-knowledge

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 systems.

affaan-m

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research-ops

232Kresearch-knowledge

Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.

affaan-m

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google-workspace-ops

232Kresearch-knowledge

Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.

affaan-m

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autonomous-agent-harness

231Kresearch-knowledge

Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.

affaan-m

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logistics-exception-management

231Kresearch-knowledge

Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.

affaan-m

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videodb

231Kresearch-knowledge

See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.

affaan-m

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exa-search

231Kresearch-knowledge

Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.

affaan-m

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customs-trade-compliance

231Kresearch-knowledge

Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.

affaan-m

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quality-nonconformance

231Kresearch-knowledge

Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.

affaan-m

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search-first

230Kresearch-knowledge

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.

affaan-m

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deep-research

230Kresearch-knowledge

Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

affaan-m

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content-hash-cache-pattern

230Kresearch-knowledge

Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.

affaan-m

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market-research

230Kresearch-knowledge

Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.

affaan-m

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continuous-learning

230Kresearch-knowledge

[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1; route continuous learning, session learning, and pattern extraction requests to continuous-learning-v2.

affaan-m

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doc-coauthoring

153Kresearch-knowledge

引导用户完成结构化协作编写文档的工作流程。当用户想要编写文档、提案、技术规范、决策文档或类似的结构化内容时使用。此工作流程帮助用户高效传递上下文、通过迭代优化内容，并验证文档对读者有效。当用户提到编写文档、创建提案、起草规范或类似文档任务时触发。

anthropics

获取

claude-api

153Kresearch-knowledge

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).

anthropics

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mcp-builder

153Kresearch-knowledge

用于创建高质量 MCP（模型上下文协议）服务器的指南，使 LLM 能够通过精心设计的工具与外部服务交互。在构建 MCP 服务器以集成外部 API 或服务时使用，无论是使用 Python（FastMCP）还是 Node/TypeScript（MCP SDK）。

anthropics

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xlsx

152Kresearch-knowledge

当电子表格文件是主要输入或输出时使用此技能。这意味着用户想要：打开、读取、编辑或修复现有的 .xlsx、.xlsm、.csv 或 .tsv 文件（例如，添加列、计算公式、格式化、制图、清理混乱数据）；从头开始或从其他数据源创建新的电子表格；或在表格文件格式之间转换。当用户通过名称或路径引用电子表格文件时（即使是随意提及，如“我下载文件夹里的 xlsx”），并希望对其进行操作或从中生成内容时，尤其要触发。也适用于将混乱的表格数据文件（格式错误的行、错位的标题、垃圾数据）清理或重组为正确的电子表格。交付物必须是电子表格文件。当主要交付物是 Word 文档、HTML 报告、独立 Python 脚本、数据库管道或 Google Sheets API 集成时，即使涉及表格数据，也不要触发。

anthropics

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