ability-generator
Generates a structured skill template based on provided specifications.
Ability Generator
This skill generates markdown skill templates to be later used.
codebase-context-extractor
This skill provides a comprehensive context extraction system for large codebases. It intelligently analyzes code structure, dependencies, and relationships to extract relevant context for understanding, debugging, or modifying code.
company-product-context
Compiles comprehensive company product context from PDF documents, web research, and industry knowledge
deep-researcher
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
llmtornado-tutorial-generator
Generates comprehensive code tutorials on LlmTornado API formatted for Medium publication with examples, explanations, and best practices.
pdf-processor
Extracts text and tables from PDF files, fills forms, and merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
Research Synthesis Workflow
A step-by-step guide to synthesizing research from multiple sources into a coherent summary.
skill-creator
Generates Anthropic Skills with complete workflow including GitHub PR creation and local download verification.
skill-generator
Generates complete Anthropic SKILL packages with proper structure, documentation, and automated download verification.
firecrawl
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firecrawl-agent
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firecrawl-crawl
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firecrawl-developer-index
Search issues, merged pull requests, READMEs, and documentation. Use when the question is how a library or API behaves, what an error means, or whether a bug was fixed; prefer this over a general web page.
firecrawl-download
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firecrawl-interact
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firecrawl-map
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firecrawl-monitor
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firecrawl-parse
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firecrawl-research-index
Find the papers that answer a research query in Firecrawl's research paper index — a corpus of paper abstracts whose largest share is biomedical and life-science literature (PubMed, bioRxiv, medRxiv), alongside arXiv preprints in CS, physics, and math — using semantic search, semantic and structural expansion, and in-body verification. Use this skill for literature-finding and paper-retrieval tasks of any kind, including clinical, biomedical, drug, gene, disease, and other life-science questions, whether the answer is a single paper or a full multi-paper set. The index is reached only through the `firecrawl_research_*` MCP tools or the `firecrawl research` CLI subcommands. Calling `firecrawl_search` with its `categories` option set to `["research"]` is a different feature — it filters ordinary web search to research-affiliated websites (the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites) and returns page results from them, without querying the paper records in this index.
firecrawl-scrape
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firecrawl-search
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ai-development-guide
Technical decision criteria, anti-pattern detection, debugging techniques, and quality check workflow. Use when making technical decisions, detecting code smells, or performing quality assurance.
coding-principles
Language-agnostic coding principles for maintainability, readability, and quality. Use when implementing features, refactoring code, or reviewing code quality.
documentation-criteria
Documentation creation criteria including PRD, ADR, Design Doc, and Work Plan requirements with templates. Use when creating or reviewing technical documents, or determining which documents are required.
implementation-approach
Implementation strategy selection framework. Use when planning implementation strategy, selecting development approach, or defining verification criteria.
integration-e2e-testing
Integration and E2E test design principles, ROI calculation, test skeleton specification, and review criteria. Use when designing integration tests, E2E tests, or reviewing test quality.
subagents-orchestration-guide
Guides subagent coordination through implementation workflows. Use when orchestrating multiple agents, managing workflow phases, or determining autonomous execution mode.
task-analyzer
Performs metacognitive task analysis and skill selection. Use when determining task complexity, selecting appropriate skills, or estimating work scale.
testing-principles
Language-agnostic testing principles including TDD, test quality, coverage standards, and test design patterns. Use when writing tests, designing test strategies, or reviewing test quality.
typescript-rules
React/TypeScript frontend development rules including type safety, component design, state management, and error handling. Use when implementing React components, TypeScript code, or frontend features.
external-resource-context
Captures and persists access methods for resources outside the repository (design source, design system, API schema, IaC source, secret store) so downstream work can reach them deterministically. Use when work depends on external resources, or when the user mentions design source, design system, API schema, IaC source, secret store, or canonical source.
llm-friendly-context
Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.
recipe-add-integration-tests
Add integration/E2E tests to existing codebase using Design Docs
recipe-build
Execute decomposed tasks in autonomous execution mode
recipe-design
Execute from codebase analysis to design document creation
recipe-diagnose
Investigate problem, verify findings, and derive solutions
recipe-front-adjust
Adjust an already-implemented UI in-session with verification against the design source
recipe-front-build
Execute frontend implementation in autonomous execution mode
recipe-front-design
Execute from codebase analysis to frontend design document creation
recipe-front-plan
Create frontend work plan from design document and obtain plan approval
recipe-front-review
Design Doc compliance and security validation with optional auto-fixes
recipe-fullstack-build
Execute decomposed fullstack tasks with layer-aware agent routing
recipe-fullstack-implement
Orchestrate full-cycle implementation across backend and frontend layers
recipe-implement
Orchestrate the complete implementation lifecycle from requirements to deployment
recipe-plan
Create work plan from design document and obtain plan approval
recipe-prepare-implementation
Verifies the work plan is implementable end-to-end and resolves verification-lane / fixture / E2E-environment gaps before the build phase begins. Use when "implement-ready/verification readiness/lane setup/E2E environment missing" is mentioned, or before any build phase begins on a work plan whose readiness has not been preflight-checked.
recipe-reverse-engineer
Generate PRD and Design Docs from existing codebase through discovery, generation, verification, and review workflow
recipe-review
Design Doc compliance and security validation with optional auto-fixes
recipe-task
Execute tasks following appropriate rules with rule-advisor metacognition
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