Automation

Keeps task_plan.md, findings.md and progress.md on disk as the agent's persistent working memory for multi-step work.

A meta-skill that logs friction and user corrections during real work and converts them into skill updates or new-skill proposals at a weekly review.

Install, authenticate and operate Gemini Notebook (NotebookLM) end-to-end through the notebooklm-py CLI or its typed async Python API, with ID-pinned, authorization-aware workflows.

A research orchestrator that fans parallel explore/librarian/browsing workers across your codebase, the web, official docs and OSS repos, recursively expands every lead, and ships a fully cited PDF/DOCX report.

An Atlassian org-admin skill that walks through user provisioning, permissions, SSO, apps, audits, and disaster recovery with real console paths and REST endpoints.

End-to-end guidance for building, running, configuring, and debugging Nextflow and nf-core pipelines.

Designs safe, hypothesis-driven chaos experiments, failure-injection code and game day exercises for distributed systems.

Splits a research goal into parallel sub-goals, runs them as headless `claude -p` subprocesses, and aggregates plus chapter-by-chapter polishes the results into a standalone report file.

Mines your recent agent transcripts and asks targeted questions to produce a personal `-mode` skill that agents follow.

Compiles a goal into a verifiable task plan and drives a bounded agent loop with machine-run checks, retry caps, and human escalation.

Spawns N parallel subagents on the same task in isolated git worktrees, ranks their results, and merges the winning branch.

Installs and configures the GitHub channel adapter so a NanoClaw agent can converse inside PR and issue comment threads.

Spins up five mutually hostile expert agents, runs a three-round cross-critique debate, and hands only the surviving insights to a dedicated plan agent for an executable work plan.

A step-by-step runbook for wiring DeltaChat — email-based, end-to-end encrypted messaging — into a NanoClaw bot.

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

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

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

An operations skill that wires messaging channels to nanoclaw agent groups and configures isolation, mention and threading policies.

An interactive skill for adding channels, MCP integrations, personas, and deployment changes to a NanoClaw bot.