Catalog
All AI skills
201 skills. Every one is readable here; downloads and live use need a subscription.
n8n-subworkflows
Build reusable n8n sub-workflows with typed inputs, all-vs-each execution, discoverable naming, and agent-tool exposure.
odw
Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon. Use when the user asks for a "workflow", says "ultracode", or hands you a task spanning many files/items that benefits from parallel agents.
omp-delegate
Delegate coding tasks to Oh My Pi (`omp`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
ontoly-software-graph
Use Ontoly's deterministic Software Graph, MCP server, and agent skills for architecture review, request tracing, impact analysis, and dependency analysis.
open-dynamic-workflows
Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.
opencode-delegate
Delegate coding tasks to the OpenCode CLI only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
orca-replay
Answers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.
orchestrate
Coordinate focused subagents on substantial work, keep their ownership non-overlapping, and integrate verified results. Use for large-scope Codex tasks; keep trivial work with the coordinator.
osterwalder-canvas-architect
Iterative consultant agent for building and validating logically consistent 9-block Business Model Canvases.
parallel-agents
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
pdf-conversion-router
Use when converting a PDF into another format such as Markdown, HTML, text, JSON, DOCX, or structured notes and the agent must choose the best extraction route, settings, and cleanup strategy for maximum fidelity and readability.
pi-custom-model
Register custom Pi Agent model slugs so saved OpenRouter variants resolve correctly.
pi-delegate
Delegate coding tasks to the Pi coding agent CLI (`pi`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
pi-web-search
Give Pi Agents a safe web-search and fetch workflow using the installed pi-web-access package.
pilot-protocol
Give an AI agent a permanent network address, encrypted P2P messaging, and an installable app store via Pilot Protocol
polis-protocol
Coordinate multi-vendor AI agents as a self-improving team — a learning router assigns work by track record and citizens can amend the protocol's own rules.
product-manager
Senior PM agent with 6 knowledge domains, 30+ frameworks, 12 templates, and 32 SaaS metrics with formulas. Pure Markdown, zero scripts.
progressive-estimation
Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops
project-development
This skill covers the principles for identifying tasks suited to LLM processing, designing effective project architectures, and iterating rapidly using agent-assisted development.
project-state-governor
Govern evidence-backed canonical project state across sessions, branches, reviews, and research cycles without inventing product intent.
prompt-engineering
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.
protect-mcp-governance
Agent governance skill for MCP tool calls — Cedar policy authoring, shadow-to-enforce rollout, and Ed25519 receipt verification.
qoder-delegate
Delegate coding tasks to the Qoder CLI (`qodercli`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
quit-sponsor
Helps an AI agent provide non-judgmental, evidence-informed quit-smoking support with user-consented tracking, craving check-ins, and escalation to human or clinical help. Not medical care.
recallmax
FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.
recursive-context-pruning-token-budgeting
Optimizes AI agent performance by pruning redundant context, managing token usage, and enforcing ultra-concise, direct-to-value responses.
review-swarm
Parallel read-only multi-agent review of a current git diff or explicit file scope to find behavioral regressions, security or privacy risks, performance or reliability issues, and contract or test coverage gaps.
run-deep-swe
Run reproducible DeepSWE coding-agent benchmark evaluations through OpenRouter and mini-swe-agent.
sendblue-notify
Text the user's phone when a long-running task, agent turn, or scheduled job finishes — via @sendblue/cli for outbound, optionally wired to a Claude Code Stop hook for automatic fire.
skill-audit
Pre-install security scanner for AI agent skills. 7.5% of 14,706 skills are malicious. Audit before you trust.
skill-improver
Iteratively improve a Claude Code skill using the skill-reviewer agent until it meets quality standards. Use when improving a skill with multiple quality issues, iterating on a new skill until it meets standards, or automated fix-review cycles instead of manual editing.
skill-issue
Find out why a coding-agent skill won't fire — grade each SKILL.md A–F on activation, simulate which skill a prompt triggers, and flag collisions where one silently shadows another.
skill-optimizer
Diagnose and optimize Agent Skills (SKILL.md) with real session data and research-backed static analysis. Works with Claude Code, Codex, and any Agent Skills-compatible agent.
skill-scanner
Scan agent skills for security issues before adoption. Detects prompt injection, malicious code, excessive permissions, secret exposure, and supply chain risks.
skill-security-audit
Audit an Agent Skill, MCP server, connector, or desktop extension before installation by tracing code, dependencies, permissions, credentials, data flow, and irreversible actions.
skill-writer
Create and improve agent skills following the Agent Skills specification. Use when asked to create, write, or update skills.
socialclaw
Agent-first social media publishing skill — schedule and publish posts across 13 platforms (X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, Pinterest) via a single workspace API key.
spec-driven-loop
Freeze PRD, technical design, and acceptance criteria before medium-to-large Codex work; coordinate agents with explicit ownership, then judge delivery from diffs, tests, and evidence.
sshepherd
Zero-knowledge SSH ops CLI — server health checks, docker/systemd control, log tailing, Postgres introspection, and declarative deploys, without ever exposing credentials to the agent.
subagent-orchestrator
Coordinate quota-aware parallel subagents for large, multi-file Antigravity tasks.
super-code
Standing house style to enforce dense, correct, and idiomatic code on all coding tasks. Minimizes code bloat and agent operation overhead.
taisly-social-media-posting
Use Taisly Agent Kit to prepare and publish approved short-form video posts across TikTok, Instagram Reels, YouTube Shorts, X, and Facebook.
tdd-orchestrator
Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices.
tool-design
Build tools that agents can use effectively, including architectural reduction patterns. Use when creating new tools for agent systems, debugging tool-related failures or misuse, or optimizing existing tool sets for better agent performance.
tool-use-guardian
FREE — Intelligent tool-call reliability wrapper. Monitors, retries, fixes, and learns from tool failures. Auto-recovers from truncated JSON, timeouts, rate limits, and mid-chain failures.
tree-ring-memory
Use Tree Ring Memory for local-first AI-agent memory lifecycle work: recall, evidence, audit, forgetting, and consolidation without transcript dumping.