abx-strategy
This skill should be used when the user needs to build Account-Based Everything (ABX) GTM strategies for complex B2B sales. Use when working on ABM strategy, ICP scoring, messaging architecture, product launches, or pipeline acceleration for companies with fewer than 500 accounts, $100K+ deals, and 6+ month sales cycles.
Agent-S - Autonomous GUI Agent
Agent-S is a powerful autonomous agent that can control your computer's graphical interface to complete complex tasks. It combines vision and action understanding to interact with any GUI element.
fallow
Analyze JavaScript/TypeScript projects with fallow. Finds unused code (files, exports, types, dependencies), code duplication, circular dependencies, complexity hotspots, and architecture boundary violations. Use when asked to find dead code, find unused exports, clean up the codebase, find duplicates, check code health, check architecture boundaries, audit unused code, auto-fix dead code, or run fallow.
planning-with-teams
Manus-style context engineering for Agent Teams. Coordinate multiple Claude Code instances with shared planning files. Use when complex tasks need parallel work (code review, debugging, feature development). Requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1.
askme
Verbalized Sampling (VS) protocol for deep intent exploration before planning. Use when starting ambiguous or complex tasks, when multiple interpretations exist, or when you need to explore diverse intent hypotheses and ask maximum clarifying questions before committing to an approach.
think
Deliberate reasoning skill: enforce multi-step analysis, hypothesis testing, and option evaluation before answering complex questions
lazyllm-skill
LazyLLM framework for building multi-agent AI applications. Use when task mentioned LazyLLM or AI program for: (1) Flow orchestration - linear, branching, parallel, loop workflows for complex data pipelines, (2) Model fine-tuning and acceleration - finetuning LLMs with LLaMA-Factory/Alpaca-LoRA/Collie and acceleration with vLLM/LMDeploy/LightLLM. Includes comprehensive code examples for all components, (3) RAG systems - knowledge-based QA with document retrieval, vectorization, and generation, (4) Agent development - single/multi-agent systems with tools, memory, planning, and web interfaces.
typed-service-contracts
Architecture standard for building robust, type-safe TypeScript services using the "Spec and Handler" pattern. Use when building CLIs, libraries, or complex business logic.
Io.Github.Tjp2021/Mcp Thinkgate
Auto-classifies prompt complexity and routes to the right Claude thinking mode. No API key needed.
creating-workflows-from-description
Use when user describes complex multi-step tasks that could benefit from orchestration - guides natural language workflow creation
deepagents-planning-todos
Use the write_todos tool effectively for task planning and decomposition in Deep Agents. Use when users want to (1) implement task planning with write_todos, (2) break down complex tasks into subtasks, (3) track agent progress through todos, (4) debug why todos aren't completing, (5) design todo structures for different task types (research, coding, analysis), (6) understand todo status lifecycle and best practices, or (7) visualize todo progression from LangSmith traces.
code-hygiene
Codebase health analysis: dead code, test quality, duplicates, complexity, security, architecture mapping. Tool-first, structured storage, forge integration.
ccs-delegation
Auto-activate CCS CLI delegation for deterministic tasks. Parses user input, auto-selects optimal profile (glm/kimi/custom) from ~/.ccs/config.json, enhances prompts with context, executes via `ccs {profile} -p "task"` or `ccs {profile}:continue`, and reports results. Triggers on "use ccs [task]" patterns, typo/test/refactor keywords. Excludes complex architecture, security-critical code, performance optimization, breaking changes.
writ
Hybrid RAG knowledge retrieval service for AI coding rule enforcement. Replaces flat-file rule loading with graph-native retrieval via a five-stage pipeline (domain filter, BM25 keyword, ANN vector, graph traversal, RRF ranking). Rules are injected automatically into Claude's context via hooks -- no manual loading required. Activates on ALL software engineering tasks: code generation, code review, design, research, auditing, debugging, testing, planning, and architecture decisions. The knowledge base is always queried -- task complexity only determines the level of ceremony, not whether Writ activates.
index-knowledge
Generate hierarchical AGENTS.md knowledge base for a codebase. Creates root + complexity-scored subdirectory documentation.
design-dialogue
Guides structured design conversations for complex engineering tasks
query-writing
For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations
ai-tutor
Use when user asks to explain, break down, or help understand technical concepts (AI, ML, or other technical topics). Makes complex ideas accessible through plain English and narrative structure. Use the provided scripts to transcribe videos
tldraw-skill
Use when user requests diagrams, flowcharts, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Generates .tldr JSON files and exports to PNG/SVG locally using @kitschpatrol/tldraw-cli.
ffmpeg-mixing
Mix, trim, and concatenate video clips with ffmpeg without audio/video desync. Use when stitching generated clips into an original video, inserting scenes at timestamps, or any ffmpeg filter_complex work involving trim/concat with a continuous audio track.
Io.Github.Codegraph Ai/Codegraph
Semantic code graph with 31 tools: callers, impact, complexity, unused code. 15 languages.
XRay-Vision
AI-powered codebase analysis — call graphs, security, dead code, complexity. 150+ tools.
agent-sql-pro
Expert SQL developer specializing in complex query optimization, database design, and performance tuning across PostgreSQL, MySQL, SQL Server, and Oracle. Masters advanced SQL features, indexing strategies, and data warehousing patterns.
Harness â Multi-Agent Orchestration
Orchestrate complex tasks through Planning â Generation ��� Evaluation â Retro. Fresh sub-agents per checkpoint prevent drift. Retro accumulates learning across tasks.
analyze-paper
Extract structured information from a research paper: system model, theorem statements, proof techniques, complexity claims, and red flags. Use when asked to analyze, summarize, or review an academic paper.
algo-sensei
Your personal DSA & LeetCode mentor. Use for problem explanations, progressive hints, code reviews, mock interviews, pattern recognition, complexity analysis, and custom problem generation. Automatically adapts to your learning style and request type.
complex-skill
Valid description
memory-manage
Manage agent memory stored as files. Record, recall, search, update, and analyze memory content. Supports exploratory analysis for building context before complex tasks.
CRAP Analyzer
CRAP (Change Risk Anti-Patterns) flags functions that are both **complex** and **poorly tested** â the worst-risk code to ship.
Claude Code scaffolding and first steps for complex brownfield codebases
Create an initial Claude Code setup for a brownfield project with a single-application topology (no sub-projects or monorepo structure).
pyscn-mcp
Analyze Python code quality using MCP tools - complexity, clones, dead code, coupling. Use when user asks about code quality, refactoring, maintainability, duplicates, or technical debt.
arc-quick
Lightweight 4-phase pipeline: Plan -> Work+Evaluate -> Review -> Mend. Chains devise --quick -> strive (with evaluator loop) -> appraise -> mend in one command. Work phase iterates up to max_iterations (default 3) with ward checks and quality signal detection between passes. Stagnation detection prevents infinite loops. Mend phase auto-fixes P1/P2 findings from the review TOME. Accepts a prompt string or existing plan file path. Recommends /rune:arc for complex plans (8+ tasks) unless --force is passed. Use when: "quick run", "fast pipeline", "plan and build", "nhanh", "chay nhanh", "quick arc", "simple pipeline", "4 steps", "plan work review mend", "quick", "arc-quick". <example> user: "/rune:arc-quick add a health check endpoint" assistant: "Starting quick pipeline: plan -> work -> review..." </example> <example> user: "/rune:arc-quick plans/my-plan.md" assistant: "Running quick pipeline on existing plan..." </example> <example> user: "/rune:arc-quick plans/complex-plan.md --force" assistant: "Force-running quick pipeline (skipping complexity warning)..." </example>
learning-opportunity
Pause development to learn a concept at 3 levels of depth. Triggers when unfamiliar patterns, new frameworks, or complex concepts appear during development.
thinking-partner
A deterministic thinking partner that challenges assumptions and applies mental models to sharpen decisions, solve problems, and think more clearly. Use this skill whenever a user says "help me think through X", "challenge my thinking", "what am I missing", "apply mental models to this", "play devil's advocate", "stress test this idea", "poke holes in my plan", "help me decide between X and Y", "what are the second-order effects", "I'm stuck on a decision", names any specific model (SWOT, first principles, inversion, pre-mortem, etc.), or asks for structured reasoning on any ambiguous, high-stakes, or complex problem. Also trigger when the user seems uncertain, is rationalizing, or is asking "am I thinking about this right?" Even casual phrases like "what do you think about..." on non-trivial topics should trigger this skill.
ast-grep
Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, write new rules, working with @ast-grep/napi or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.
consulting-writing
Writing craft drawn from management-consulting deliverables â the executive-summary / pyramid structure that compresses a complex domain for decision-makers, and the MECE completeness of a roll-up. `criteria.json` is the SoT for each criterion's definition, comparator, and source; shared parsing f
Conversation
How to engage with a user reviewing generated UI. Extracts preferences, classifies feedback complexity, and maintains a natural conversational tone.
agent-smith
Use when a complex task needs parallel decomposition into independent subtasks, when multiple agents must work simultaneously without conflicts, or when recursive task delegation is required
find-complexity
Find functions and methods with high cyclomatic complexity, excessive length, or too many parameters. Use when the user asks to find complex code, complexity hotspots, refactoring candidates, or wants to improve code maintainability.
swarm-iosm
Orchestrate complex development with AUTOMATIC parallel subagent execution, continuous dispatch scheduling, dependency analysis, file conflict detection, and IOSM quality gates. Analyzes task dependencies, builds critical path, launches parallel background workers with lock management, monitors progress, auto-spawns from discoveries. Use for multi-file features, parallel implementation streams, automated task decomposition, brownfield refactoring, or when user mentions "parallel agents", "orchestrate", "swarm", "continuous dispatch", "automatic scheduling", "PRD", "quality gates", "decompose work", "Mixed/brownfield".
software-design-review
Analyzes code based on John Ousterhout's "A Philosophy of Software Design". Identifies unnecessary complexity, shallow modules, information leaks, and design problems. Use when reviewing architecture, PRs, refactoring, or asking about code quality.
paddleocr-doc-parsing
Complex document parsing with PaddleOCR. Intelligently converts complex PDFs and document images into Markdown and JSON files that preserve the original structure.
design-doc-generate
Generate design documents for Validate mode work items (Checkpoint 1). Required for high-complexity items.
Io.Github.Rog0x/Lint
Style check, naming, complexity analysis for AI agents
ace-tool
Semantic codebase search, code indexing, and prompt enhancement via standalone CLI. Use when: (1) Semantic code search with natural language queries, (2) Code indexing for remote codebase retrieval, (3) Prompt enhancement with codebase context, (4) Before grep/find/glob operations for better accuracy, (5) Complex requirements clarification, (6) Large codebase navigation. Triggers: "search context", "enhance prompt", "find code that", "index project", "clarify requirements". IMPORTANT: Always use ace-tool BEFORE grep/find/glob for semantic-level code location.
component-refactoring
Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction, or when `pnpm analyze-component` warns to refactor before testing; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.
autonomous-skill
Execute long-running, multi-session tasks autonomously using Claude Code headless mode or in-session hook-based loops. Supports structured task decomposition (for complex projects) and lightweight Ralph-style iteration (for TDD, bug fixing, refactoring). Use this skill whenever the user says "autonomous", "long-running task", "multi-session", "run this in the background", "keep working on this", "batch process", "iterate until done", "ralph loop", or wants any task that requires sustained, unattended execution.
agent-sop-author
Create (or update) and validate Agent SOPs (Standard Operating Procedures) - markdown-based workflows that guide AI agents through complex, multi-step tasks with RFC 2119 constraints.
Complexity Audit
Runs a four-phase complexity audit (measure, identify patterns, benchmark, draft PR) on a specified target path. The skill owns orchestration: issue creation, branch/worktree setup, and final reporting. The `complexity-auditor` agent owns execution.
advanced-code-quality
Use when going beyond basic linting to enforce advanced Python code quality gates. Triggers on: cognitive complexity, code duplication detection, architectural enforcement, import boundaries, dependency hygiene, test quality beyond coverage, mutation testing, docstring coverage, type coverage, AI-generated code detection, AI slop detection, complexipy, jscpd, import-linter, deptry, diff-cover, mutmut, interrogate, sloppylint, refurb, pylint design checks, wily, radon maintainability, pytestarch, griffe, "bulletproof Python", "tighten quality gates", "advanced quality checks", "beyond ruff and mypy", "catch AI-generated code issues", "code duplication", "architectural boundaries", "dependency drift", "test effectiveness". Complements the code-quality skill (ruff, mypy, xenon, vulture, pre-commit) with 20+ additional tools.