All skills

Reads your local screenpipe timeline, clusters repeated workflows, and drafts new skills or composition recipes for the patterns not yet covered.

Guides Claude to infer transcription factor–target gene networks from expression data using arboreto's GRNBoost2 and GENIE3.

Scans a Figma file through the REST API and builds an interactive knowledge graph of pages, screens, components, and design tokens.

Official skill that walks you through researching, implementing, testing, and evaluating high-quality MCP (Model Context Protocol) servers in TypeScript or Python.

Convenes each git worktree and PR as its own agent in a shared markdown room, then drives rounds until one consolidation plan emerges.

Maps a codebase into feature-grouped Mermaid flowcharts, hunts duplicated concerns with file:line evidence, and proposes the simplest unified architecture before a refactor.

Typing 'ultrawork' or 'ulw' flips the agent into a strict failing-first, evidence-driven engineering mode with mandatory cleanup receipts.

Triggered by the keyword 'ultrawork' or 'ulw', it forces a failing-proof-first, real-surface-QA, cleanup-receipt workflow before anything can be called done.

Runs a named team of cooperating Codex workers under the main session as leader, with durable on-disk team state.

Debugs a LazyCodex or upstream Codex CLI defect in a throwaway workspace and ships it as a fork PR or a patch-embedded verified-fix issue.

Strips AI-generated code slop from branch changes category by category — but only after regression tests lock the current behavior.

Turns a project's full claude-mem timeline into a serial, chapter-per-ISO-week narrative built by a chained sequence of subagents.

Splits a task into the smallest mergeable PRs, builds each in its own git worktree with evidence-backed manual QA, then loops on CI and review-bot gates until merged and cleaned up.

Grounds itself in your codebase, asks only the questions exploration can't answer, and after your explicit okay writes one decision-complete work plan a worker can execute with zero follow-up interview.

A 6-phase refactoring protocol: clarify intent, build a codemap, gauge test coverage, plan atomic steps, and verify after every change.

A careful runbook for moving legacy NanoClaw and Claude-native memory into the shared memory/ tree with quarantine, reporting, and rollback.

Switches NanoClaw off the OneCLI credential gateway and injects Anthropic API keys or OAuth tokens straight from .env into the agent container.

Lets an agent safely modify its own environment — installing packages, adding MCP servers, or delegating code changes to a builder agent.

A step-by-step playbook for tracing NanoClaw agent container failures through host logs, the two session DBs, mounts, and heartbeats.