project-management
Manage projects, tasks, and workflows with Codex; use when project planning, task tracking, or team coordination is mentioned.
form-filling
Guide PDF or web form filling; use when structured form completion is requested.
habit-tracker
Reads every Claude Code session in the user's config directory and renders a self-contained light-theme website with a GitHub-style contribution grid, visual metrics, and 5-10 written insights about the user's agent coding habits and what they are building. Use when the user runs /habit-tracker or asks about their coding habits, activity streak, contribution graph, what they have been building, or a recap of their Claude Code usage.
ReasoningBank Intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
effort-map
Read the current project's current and prior Claude Code or Codex sessions, extract every prompt, score five effort metrics 0-100 with reasons, estimate average tokens and time per session, and render a self-contained light-theme HTML report. Use when the user runs /effort-map or asks how much effort, thought, bug-fixing, UX tuning, architecture care, or copy-paste slop went into a project.
fix-git-history
Rewrite poor git commit messages into a clear conventional-commit history. Reads the last N commits with their diffs, proposes a clean conventional message for each by reading what the code actually changed, then opens a light-theme review UI where the user approves all or each message individually before the history is rewritten. Use when the user runs /fix-git-history or asks to clean up, rewrite, normalize, or fix commit messages or git history into a conventional-commit format.
grafana-generator
Reads the entire codebase, detects Java/Spring Boot, Rust/Actix+Axum, Python/Django, or Go/Gin, discovers all HTTP endpoints, and generates a working Grafana + Prometheus + node_exporter observability stack with podman-compose. Dashboard includes machine metrics (CPU, memory, disk, I/O, network) and application metrics (request counters, error counters, latency p50/p70/p90/p95/p99/p99.9 per endpoint).
infra-automation-generator
Scans a project, auto-detects language/framework, and generates infrastructure files (Containerfile, K8s, Helm, OpenTofu, Ansible) based on user choices.
agent-skill-linter
Lint a codebase on code quality, best practices, design principles, build and test status, per-test speed (slow at or above 5s), cyclomatic complexity, and expressive naming, then render the results as a modern web report. Use when the user runs /lint or /lint-site, or asks to lint, score, or audit the quality of a project.
prometheus-runbooks
Read active Prometheus alerts and propose concrete runbook remediation steps for each firing alert. Use when the user runs /prometheus-runbooks or asks to triage Prometheus or Alertmanager alerts, investigate firing alerts, explain what an alert means, or generate a runbook for an alert.
rerender
Runs a real re-render benchmark on every React component in a project and renders a Lighthouse-style light-theme performance report. For each component it mounts the real code in jsdom inside a React Profiler, forces a fixed number of parent re-renders with stable props, and counts the renders React could have skipped (wasted renders) plus render durations, then scores each component 0-100. Use when the user runs /rerender or asks to measure, benchmark, or find React re-render / wasted-render / memoization performance problems.
terminal-rpg-agent
Run themed RPG learning sessions from `/rpg-learn` requests. Use when the user wants a visual browser game or terminal fallback with quests, cards, XP, score, inventory, failures, boss fights, and safe shell command quests for Algorithms, Data Structures, Generative AI, Machine Learning, SRE/DevOps, or Management.
github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Hooks Automation
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 for enhanced development workflows.
Pair Programming
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
ReasoningBank with AgentDB
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 decision-making, or implementing experience replay systems.
Skill Builder
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
Swarm Orchestration
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
V3 CLI Modernization
CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
V3 Core Implementation
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
V3 DDD Architecture
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
V3 Deep Integration
Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
V3 Performance Optimization
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.
V3 Security Overhaul
Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.
V3 Swarm Coordination
15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
bus-factor
Builds a knowledge-risk heatmap of a git repository. Runs git blame across tracked files, finds the ones owned by a single person, computes a bus factor per file, directory, and author, and renders a light-theme website that shows where knowledge is concentrated. Use when the user runs /bus-factor or asks where the project's knowledge risk, single points of failure, or single-owner code lives.
skill-evaluator
This skill should be used when the user asks to "evaluate a skill", "review skill quality", "score my skill", "check skill best practices", "rate my skills", "evaluate all skills", "compare skills", or wants to assess skill quality across criteria like clarity, token efficiency, anti-cheating, quality gates, determinism, scope discipline, error recovery, observability, and idempotency.
metrics-report
Scan an entire codebase, discover and run all test types, compute hybrid coverage, evaluate quality, and generate a full metrics report website with trends and charts.
leak-detect
Scan code for leaked PII, secrets/credentials, and security vulnerabilities that would get you hacked in production.
jit
Generate ephemeral catching tests on the current diff, run them, and report behavior regressions. Tests are never committed. Works across Java, Kotlin, Scala, Python, and Node.js stacks.
spring-boot-helper
Expert knowledge of Spring Boot 4 and Spring AI 2.0 including auto-configuration,
java-expert
Expert knowledge of Java 25 features including virtual threads, pattern matching,
html-as-contract
Author and verify engineering rules as a single HTML contract. Use when the user runs /html-as-contract to review, accept, or suggest rules, or /html-as-contract check to scan code and regenerate the compliance report tab. Callable by a human or by another agent.
flamegraph
Build a function call-graph flamegraph website for a Java codebase. Parses the sources, extracts every method and the calls between them, and renders a light-theme site where the user picks any class or method and sees its call tree as a hand-drawn SVG flamegraph. Use when the user runs /flamegraph or asks for a call graph, call-graph flamegraph, or a visualization of which methods call which.
cook
Orchestrate coding agents with review loops, parallel races, repeat passes, and task-list progression. Use when: the user asks to "cook" something, wants iterative refinement, wants to race multiple approaches, or needs to work through a task list.
codebase-roast-map
Use when a user wants a funny local pain map of a repository showing complex files, churn hotspots, stale code, ownership risk, weak tests, bug-heavy areas, and maintainability risk through /roast or /roast-map.
hello-world
A minimal placeholder skill that greets the user from the claude-skill-marketplace POC
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
V3 Memory Unification
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).
V3 MCP Optimization
MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
browser
Web browser automation with AI-optimized snapshots for claude-flow agents
AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
AgentDB Performance Optimization
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.
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