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.
json-formatter
Validate, format, and minify JSON files when users request JSON validation, formatting, or ask to validate their JSONs
vsdd
Verified Spec-Driven Development (VSDD) workflow. Fuses SDD + TDD + VDD into a single AI-orchestrated pipeline. Enforces: Spec Crystallization -> Test-First Implementation -> Adversarial Refinement -> Formal Hardening -> Convergence. Use when user invokes /vsdd.
deployer-workflow
Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
bruno-generator
Scans the entire codebase, detects all HTTP/API endpoints across Java/Spring Boot, Node/Express, Go/Gin, Rust/Actix+Axum, Python/Django, and generates a complete Bruno API client project with .bru files, sample requests, and environments.
reverse-post-site
Reads reverse-postmortem.md and renders a self-contained static site (reverse-postmortem-site/index.html) with a risk dashboard, per-incident cards, causal-chain visuals, and action-item checklists. No build step, no external dependencies.
reverse-post
Scans the codebase, predicts the most likely future incidents, and writes each as a full past-tense postmortem (timeline, root cause at file:line, detection gap, preventive action items) into reverse-postmortem.md.
runbook-generator
Reads the full codebase, detects service architecture and dependencies, then generates operational runbooks for common failure modes into runbook.md.
hats
Analyze a prompt with Edward de Bono's Six Thinking Hats and produce a polished, self-contained HTML report. Use when the user invokes /hats or $hats, requests Six Thinking Hats analysis, wants a decision reviewed from factual, emotional, cautious, optimistic, creative, and process perspectives, or asks for an illustrated HTML decision report.
accessibility-auditor
Audits a running web page for WCAG accessibility issues, captures a screenshot and annotates it with a numbered box over every problem, then renders a self-contained light-theme website with the score, the annotated screenshot, and a fix for each finding. Use when the user runs /accessibility-auditor or asks to audit, check, or report a site's accessibility, WCAG compliance, alt text, color contrast, labels, or screen-reader support.
branch-tombs
Builds a branch graveyard for a git repository. Reads every local and remote branch, records who last touched it and when, computes age, ahead/behind, and whether it is merged into the trunk, then renders a light-theme website that shows the stale branches as headstones and lists the ones that are safe to delete. Use when the user runs /branch-tombs or asks about stale, dead, abandoned, or old branches, branch cleanup, or which branches are safe to prune.
bug-cataloger
Find bugs that were encountered and solved in prior Claude Code or Codex sessions for the current project, then generate a self-contained searchable light-theme HTML bug report. Use when the user asks for a bug catalog, solved-problem history, prior-session bug report, recurring failure inventory, or a BUG to Solution report for the current repository.
bug-recording
Detect whether a target web project is a React app on Node or Bun, run it, hunt for CSS / functional / render bugs with Playwright, and record an optimized video of each bug. Use when the user runs /bug-recording or asks to find and record UI bugs in an app.
bug-report
Render a self-contained light-theme website with three tabs (bugs found, bug videos, reproduction steps) from a bug-recording output directory. Use when the user runs /bug-report or asks to turn recorded bug findings into a report site.
bundle-size
Attributes a frontend project's JavaScript bundle size to the imports that caused it, then renders a light-theme analytics website. Bundles the app with esbuild, reads the metafile, and reports how many minified KB each npm package and source module added. Use when the user runs /bundle-size or asks which import is the heaviest, what is bloating the bundle, or for a bundle-size / import-cost report.
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.
bs-claudemd
Audit a CLAUDE.md for cruft and render a light-theme report website. Reads the file line by line and flags vague rules with no checkable criterion, low-signal lines that only restate what the model already does, overlapping rules said more than once, and internal contradictions, then scores the file with a BS-o-meter and grade. Can also diff two CLAUDE.md files and flag rules that tell the model opposite things. Use when the user runs /bs-claudemd or asks to review, audit, grade, lint, or clean up a CLAUDE.md / AGENTS.md / agent instructions file, or to compare two of them.
data-dict
Reads a codebase and discovers its database schema wherever it is defined — Liquibase changelogs, raw SQL run through JDBC, and Hibernate/JPA entities — merges them into one model, and renders a self-contained light-theme website with three tabs (a per-table data dictionary, a hand-drawn ER diagram, and an in-browser SQL query console). Use when the user runs /data-dict or asks to document, map, visualize, or generate a data dictionary for a project's database schema.
dead-code
Find dead Java code by static reachability from entry points. Parses the sources, builds the method call graph, walks it from real entry points (main, Spring web/lifecycle/scheduler handlers, JUnit tests, framework callbacks), and renders a light-theme website with summary cards, a reachable-vs-dead chart, and a grouped list of every unreachable method and dead class. Use when the user runs /dead-code or asks to find dead, unused, or unreachable code, or which methods and classes are safe to delete.
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).
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.
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.
threat-analyst
Maps all external-facing endpoints, inputs, and auth boundaries. Scans the whole codebase and produces threat-analysis.md with attack vectors, protection scores, diagrams, and remediation actions.
weekly-review
Produce a flashy light-theme website that recaps the past week of work by combining the current git repository's history with the user's Google Calendar events. Use when the user runs /weekly-review or asks for a weekly summary, recap, or report of their work.
diego-pacheco-design
Use this skill to generate well-branded interfaces and assets for the Diego Pacheco engineering portfolio — `https://diegopacheco.github.io/`. Suitable for production code, throwaway prototypes, additional portfolio pages, book/talk microsites, and slide decks that should match the existing look. Contains essential design guidelines, colors, type, fonts, assets, and a UI kit of React components.
AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
AgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
AgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
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.
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.
browser
Web browser automation with AI-optimized snapshots for claude-flow agents
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
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.
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