研究与知识

研究、检索、摘要和知识工作

1480 個 Skills 可用

Skills 列表

executive-onboarding-playbook

executive-onboarding-playbook

6.5Kresearch-knowledge

Plan a VP or CPO 30-60-90 day diagnostic onboarding path. Use when entering a new executive product role and avoiding premature change.

deanpeters avatardeanpeters
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k-schoollunch-menu

k-schoollunch-menu

6.5Kresearch-knowledge

Use when the user asks for Korean school meal menus (급식 식단) by natural-language education office and school name, via k-skill-proxy NEIS school-search and school-meal routes.

nomadamas avatarnomadamas
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pestel-analysis

pestel-analysis

6.5Kresearch-knowledge

Analyze political, economic, social, technological, environmental, and legal forces. Use when external market shifts could materially affect a product, roadmap, or strategy.

deanpeters avatardeanpeters
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problem-statement

problem-statement

6.5Kresearch-knowledge

Write a user-centered problem statement with who is blocked, what they are trying to do, why it matters, and how it feels. Use when framing discovery, prioritization, or a PRD.

deanpeters avatardeanpeters
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tlc-spec-driven

tlc-spec-driven

6.5Kresearch-knowledge

Feature planning and implementation with 4 adaptive phases (Specify, Design, Tasks, Execute). Auto-sizes depth by complexity. Writes testable requirements in EARS notation, atomic tasks, atomic Conventional Commits, and requirement traceability. Ships deterministic Python validation scripts so structural gates are enforced by code, not memory. Features an independent Verifier (author != verifier, evidence-or-zero), a discrimination sensor, a decision log (STATE.md), a test-coverage matrix, and a self-improving lessons layer. Stack-agnostic and tool-agnostic. Use when (1) planning features, (2) implementing with verification and atomic commits, (3) validating an implementation against a spec. Triggers on "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "record decision", "pause work", "resume work". Do NOT use for pure architecture decomposition analysis or standalone technical design documents.

tech-leads-club avatartech-leads-club
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kakao-bar-nearby

kakao-bar-nearby

6.4Kresearch-knowledge

Use when the user asks for nearby bars or 근처 술집. Always ask the user's current location first, then use Kakao Map search + place detail panels to find open-now bars with menu, seating, and phone hints.

nomadamas avatarnomadamas
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daiso-product-search

daiso-product-search

6.4Kresearch-knowledge

Look up Daiso products by store name and product keyword using official Daiso Mall store/search/stock surfaces. Use when the user wants to know whether a product is available at a specific Daiso store.

nomadamas avatarnomadamas
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learn

learn

6.4Kresearch-knowledge

Runs a six-phase research workflow that turns unfamiliar domains, source bundles, or collected material into publish-ready output. Use when users ask in any language to research, study, deep-dive, compile sources, synthesize unfamiliar material, or turn a source bundle into a coherent reference. Not for quick lookups or single-file reads.

tw93 avatartw93
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think

think

6.4Kresearch-knowledge

Turns rough ideas into approved, decision-complete plans with validated structure before coding. Use when users ask in any language for planning, architecture, design direction, feasibility, value judgment, or whether a feature is worth doing before implementation. Not for bug fixes or small edits.

tw93 avatartw93
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read

read

6.4Kresearch-knowledge

Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local text files already in the repo.

tw93 avatartw93
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yara-rule-authoring

yara-rule-authoring

6.3Kresearch-knowledge

Guides authoring of high-quality YARA-X detection rules for malware identification. Use when writing, reviewing, or optimizing YARA rules. Covers naming conventions, string selection, performance optimization, migration from legacy YARA, and false positive reduction. Triggers on: YARA, YARA-X, malware detection, threat hunting, IOC, signature, crx module, dex module.

trailofbits avatartrailofbits
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crypto-protocol-diagram

crypto-protocol-diagram

6.3Kresearch-knowledge

Extracts protocol message flow from source code, RFCs, academic papers, pseudocode, informal prose, ProVerif (.pv), or Tamarin (.spthy) models and generates Mermaid sequenceDiagrams with cryptographic annotations. Use when diagramming a crypto protocol, visualizing a handshake or key exchange flow, extracting message flow from a spec or RFC, diagramming a ProVerif or Tamarin model, or drawing sequence diagrams for TLS, Noise, Signal, X3DH, Double Ratchet, FROST, DH, or ECDH protocols.

trailofbits avatartrailofbits
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customer-journey-map

customer-journey-map

6.3Kresearch-knowledge

Create a customer journey map across stages, touchpoints, actions, emotions, and metrics. Use when diagnosing a broken experience or aligning a team on the full customer flow.

deanpeters avatardeanpeters
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company-research

company-research

6.2Kresearch-knowledge

Create a company research brief with executive quotes, product strategy, and org context. Use when preparing for interviews, competitive analysis, partnerships, or market-entry work.

deanpeters avatardeanpeters
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n8n-agents

n8n-agents

6.2Kresearch-knowledge

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 calling, $fromAI, system prompts, agent memory, sessionId, structured/JSON output, output parser, RAG, vector store, a chat assistant/bot, or human-in-the-loop review. Covers Agent-vs-chain-vs-classifier choice, the model/memory/tools/outputParser slots, tool names/descriptions as prompt, structured output with autoFix, memory, RAG, human review, and chat topologies.

czlonkowski avatarczlonkowski
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n8n-validation-expert

n8n-validation-expert

5.8Kresearch-knowledge

Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, the validation loop process, or auto-fix capabilities. Consult this skill whenever a validate_node or validate_workflow call returns errors or warnings — it knows which warnings are false positives and which errors need real fixes.

czlonkowski avatarczlonkowski
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n8n-mcp-tools-expert

n8n-mcp-tools-expert

5.8Kresearch-knowledge

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 tool selection guidance, parameter formats, and common patterns. IMPORTANT — Always consult this skill before calling any n8n-mcp tool — it prevents common mistakes like wrong nodeType formats, incorrect parameter structures, and inefficient tool usage. If the user mentions n8n, workflows, nodes, or automation and you have n8n MCP tools available, use this skill first.

czlonkowski avatarczlonkowski
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autoresearch

autoresearch

5.8Kresearch-knowledge

Autonomous iteration loop: modify, verify, keep/discard against any metric

uditgoenka avataruditgoenka
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review-response

review-response

5.7Kresearch-knowledge

Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.

galaxy-dawn avatargalaxy-dawn
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results-analysis

results-analysis

5.7Kresearch-knowledge

This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions interpreting experiment data with rigorous statistics and visualization. It focuses on strict analysis bundles, not Results-section prose.

galaxy-dawn avatargalaxy-dawn
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research-ideation

research-ideation

5.7Kresearch-knowledge

This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea generation to planning.

galaxy-dawn avatargalaxy-dawn
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results-report

results-report

5.7Kresearch-knowledge

This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.

galaxy-dawn avatargalaxy-dawn
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zotero-obsidian-bridge

zotero-obsidian-bridge

5.7Kresearch-knowledge

Use this skill when Zotero is the literature source of truth and the project KB should receive source notes under Sources/Papers plus project-linked synthesis in Knowledge and Writing.

galaxy-dawn avatargalaxy-dawn
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skill-quality-reviewer

skill-quality-reviewer

5.7Kresearch-knowledge

This skill should be used when the user asks to "analyze skill quality", "evaluate this skill", "review skill quality", "check my skill", or "generate quality report". Evaluates local skills across description quality, content organization, writing style, and structural integrity.

galaxy-dawn avatargalaxy-dawn
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