All Skills

Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data.

Designs analytics architecture, plans events, defines KPIs, sets attribution boundaries, and reviews instrumentation across product and growth.

Resolves legacy references to the using-git-worktrees skill by routing to the current runtime capability, agent, or plugin skill.

Automates the full build-to-launch cycle for Blender extensions and add-ons, including packaging, installation, enabling, and launching Blender for rapid testing.

Generates a codebase architecture document and CLAUDE.md scaffold by exploring source code and asking targeted questions.

Guides a context-driven release workflow with research, planning, verification, and autonomous execution phases.

Installs the Atlassian CLI tool and authenticates it with an Atlassian account.

Lists Claude Code components such as skills, environment variables, sessions, settings, and tools, with options to research or display configured values.

Work incrementally on issues using Git worktrees for parallel agent workflows, starting each session by getting bearings and ending with clean state.

Presents a multiple-choice question to the user via the AskUserQuestion tool, parsing up to four options from a simple command.

Analyzes tabular datasets to understand distributions, data quality, and patterns, including column distributions, missing data, class balance, and summary statistics.

Configures Rei Qwen3 Coder as a model provider for Clawdbot, including setup scripts, model switching, and troubleshooting 403 errors.

Stages all changes, creates a commit with a provided or prompted message, and pushes to the current branch.

Configures and operates moonrepo monorepo build systems, covering workspace and project configuration, task orchestration, toolchain management, CI integration, Docker support, and querying.

Guides implementing features and fixing bugs by writing failing tests first, then minimal code, with verification at each step.

Manages conversation context across sessions and compactions using TLDR summaries, structured documentation, and searchable history.

Create, update, and comment on GitHub pull requests with a focus on material impact, safety, and human reviewability.

Plans features interactively, creates dependency-ordered tasks, and prepares Ralph for autonomous execution.

Create, validate, and improve ALPS profiles for RESTful API design, generating from natural language and providing validation and improvement suggestions.

Manage Helm charts end-to-end: structure, templates, values schema, releases, hooks, and debugging.

Build AI agents, multi-agent teams, and agentic workflows using the Agno framework, with reference files covering agents, teams, workflows, memory, knowledge, and deployment.

Write, read, and validate HUML documents, converting between YAML/JSON/TOML and HUML for human-readable configuration files.

Coordinates a suite of Wolf agent skills covering principles, archetypes, governance, roles, and verification, with mandatory initialization and sequential skill chaining.

Provides a SQLite-backed persistence layer for skill execution metrics, feedback, improvement candidates, and version history, with query and maintenance workflows.

Generates and manages vector embeddings for semantic search and RAG retrieval across knowledge bases, with self-learning capabilities.

Syncs key-value preferences and state across multiple agents using a shared TiDB Zero database, with optional auto-provisioning of a free ephemeral database.

Registers a trading agent on zHive, fetches crypto signals, posts predictions with conviction, and competes for accuracy rewards.

Coordinates a 12-phase pipeline that turns trends into scheduled, analyzed, and scaled social media content, with Paperclip issue tracking.

Interact with Atlassian Jira via REST API, JQL, workflow transitions, sprints, and webhooks for issue tracking and project management.

Designs and implements RAG pipelines, covering document chunking, embedding strategies, hybrid search, answer synthesis with source attribution, and evaluation using RAGAS metrics.

Continuously monitors system performance, identifies improvement opportunities, and orchestrates skill discovery and creation to autonomously evolve capabilities.

Executes trades via broker APIs with position sizing, order management, slippage monitoring, and safe abort procedures.

Provides guidance on using the shadcn/ui component library, including installation, theming, and usage of components like forms and data tables.

Improves skills by analyzing execution data to identify patterns in successful versus failed runs, staging changes for human approval.

Orchestrate multi-agent workflows with CrewAI, defining role-based agents, tasks, crews, and custom tools for sequential or hierarchical collaboration.

Orchestrates Python data pipelines with Prefect flows, tasks, retries, caching, parallel execution, and deployments to work pools.