codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
manage-dotfiles
Manage dotfiles and keep synced with external directories. Use on Linux / macOS systemswhen thetre are external connfigs which are being imported into the dotfiles, or when stored dotfiles need to be brought outside to the XDG environment.
analyzing-backtests
Analyzes algorithmic trading backtest results from Jupyter notebooks and generates summary reports. Use when the user wants to analyze or summarize backtest notebooks.
brainstorm
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conventional-commits
Commit changes in a git workspace using the Conventional Commits specification. Use when the user asks to commit, stage, or save changes to git, or mentions "conventional commits". Analyzes staged/unstaged changes, groups related modifications, generates properly formatted commit messages, and commits files separately or together as appropriate. Confirms with user when commit ordering is ambiguous.
data-juicer
Primer for using the data-juicer Python library (also written `datajuicer` or `DJ`) — a YAML-driven, OP-based system for cleaning, filtering, deduplicating, transforming, and synthesizing text and multimodal data for foundation models. Use this skill whenever the user mentions data-juicer, DJ, dj-process, dj-analyze, "DJ format", building data recipes / YAML pipelines for LLM training data, or writing custom Filter / Mapper / Deduplicator / Selector / Aggregator / Grouper operators ("OPs"). Also reach for it when the user is putting together a data preprocessing pipeline for LLM pre-training, post-tuning, or multimodal datasets and DJ would be a natural fit, even if they haven't named the library yet — flagging DJ as an option is often the most helpful move.
feature-brainstorm
Multi-phase brainstorming for complex feature implementations using parallel sub-tasks. Use when the user asks to brainstorm, design, or plan a complex feature, wants to explore implementation approaches, or needs architectural analysis before coding. Triggers on phrases like "brainstorm feature", "design implementation", "explore approaches", "plan architecture", or "how should we implement".
package-skill
Package a Claude Code skill directory into a distributable .skill file. Use when the user wants to export, package, bundle, zip, or distribute a skill. Triggers on mentions of .skill files, packaging skills, exporting skills, or sharing skills.
stacked-issues
Implement multiple GitHub issues sequentially as stacked branches in separate worktrees, with an implementer sub-agent and an independent reviewer sub-agent per issue. Use when the user gives you two or more dependent issues and asks for them to be implemented in order, or says "stacked branches", "sequential issues", "issue chain", "do these in worktrees", or describes a parent epic with child issues that build on each other. Also reach for this whenever the user wants implementation and verification done by separate agents.
stacked-prs
Push local branches and create stacked PRs. Analyzes branch topology, pushes, creates PRs with correct base branches, and resolves merge conflicts. Use when you have a chain of local branches to turn into stacked PRs.
using-nautilus-trader
Provides expert guidance for NautilusTrader algorithmic trading platform. Covers backtesting strategies, live trading deployment, event-driven architecture, and building trading systems.
using-proton-pass-cli
Interact with Proton Pass via the `pass-cli` command-line tool. Use this skill when the user wants to manage passwords, vaults, items, SSH keys, secret injection, or any credential management through the Proton Pass CLI. Triggers on mentions of pass-cli, proton pass, secret references, pass:// URIs, vault management, or SSH agent integration with Proton Pass.
experiment-log-interview
Conducts a structured Socratic interview to produce or update a single experiment log entry — the durable record of what was run, what it showed, and what it means. Use this skill whenever the user wants to log an experiment, write up results, record a backtest, capture a finding, pre-register a run, document a study, or update an existing entry with new results or a revised interpretation. Trigger on phrases like "log this experiment," "write up the results of...", "I ran X, help me document it," "pre-register this," "update the entry for...", or when the user shares results and asks for help interpreting and recording them. The skill enforces the four-way separation between what happened, what it means, what it implies, and what comes next; challenges the user's interpretations with evidence requests and alternative explanations; and writes incrementally to keep context clean and the entry always grounded.
experiment-log-structure
Use when an agent needs to produce, update, validate, or normalize a standardized experiment-log entry without running an interview. Defines the canonical structure, pre-registration rules, evidence/interpretation split, calibration tags, and append-only revision model for durable experiment records.
research-proposal-interview
Conducts a structured Socratic interview to produce a comprehensive markdown research proposal that handles cascading uncertainty (fixed end-question, branching experiments). Use this skill whenever the user wants to write a research proposal, research plan, study design, experiment plan, thesis proposal, RFC, or "spec out" a research direction — even if they don't explicitly say "interview me." Trigger when the user says things like "help me plan this research", "I want to design experiments for X", "draft a proposal for...", "think through a research direction", or shares a half-formed research idea and asks for help structuring it. The skill interviews the user, challenges their priors with evidence requests and falsifiers, optionally uses sub-agents to explore prior art, and builds the proposal markdown incrementally so context stays clean and the document is always grounded.
research-proposal-structure
Use when an agent needs to produce, update, validate, or normalize a standardized research proposal artifact without running an interview. Defines the canonical structure, confidence-tag semantics, decision logic, and completion checks for proposal.md-style research plans.
spotify
Spotify: play, search, queue, manage playlists and devices.
manage-dotfiles
Manage dotfiles and keep synced with external directories. Use on Linux / macOS systemswhen thetre are external connfigs which are being imported into the dotfiles, or when stored dotfiles need to be brought outside to the XDG environment.
media-transfer-to-te-amo
Use when copying TV media onto /mnt/Te_Amo and the imported show must be reshaped to match the nested TV Shows library layout on Te_Amo.
te-amo-tv-show-layout
Canonical folder and filename shape for TV shows stored under /mnt/Te_Amo/TV Shows.
apple-notes
Manage Apple Notes via memo CLI: create, search, edit.
apple-reminders
Apple Reminders via remindctl: add, list, complete.
findmy
Track Apple devices/AirTags via FindMy.app on macOS.
imessage
Send and receive iMessages/SMS via the imsg CLI on macOS.
macos-computer-use
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agent-skill-library-governance
Use when inventorying, deduplicating, categorizing, centralizing, or migrating skills across Claude Code, Codex, Pi/shared agents, OMP, Hermes, or similar agent runtimes. Distinguishes authoritative user-managed skills from system bundles, plugin caches, memories, backups, and symlink aliases; selects canonical full bundles and produces a collision-aware migration map.
claude-code-internals-inspection
Inspect installed Claude Code internals and official plugin recreations to locate prompts, output styles, built-in strings, and migration hooks.
claude-code
Delegate coding to Claude Code CLI (features, PRs).
codex
Delegate coding to OpenAI Codex CLI (features, PRs).
coding-agent-output-styles
Find, extract, and port coding-agent output style prompts across Claude Code, Pi, and OMP.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
hermes-agent
Configure, extend, or contribute to Hermes Agent.
hermes-desktop-plugins
Write desktop app plugins that add UI panes and commands.
interactive-omp-smoke
Automate real OMP TUI extension smoke tests using a Python PTY harness when manual key input is required
kanban-codex-lane
Use when a Hermes Kanban worker wants to run Codex CLI as an isolated implementation lane while Hermes keeps ownership of task lifecycle, reconciliation, testing, and handoff.
opencode
Delegate coding to OpenCode CLI (features, PR review).
architecture-diagram
Dark-themed SVG architecture/cloud/infra diagrams as HTML.
ascii-art
ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.
ascii-video
ASCII video: convert video/audio to colored ASCII MP4/GIF.
baoyu-article-illustrator
Article illustrations: type × style × palette consistency.
baoyu-comic
Knowledge comics (知识漫画): educational, biography, tutorial.
baoyu-infographic
Infographics: 21 layouts x 21 styles (信息图, 可视化).
claude-design
Design one-off HTML artifacts (landing, deck, prototype).
comfyui
Generate images, video, and audio with ComfyUI — install, launch, manage nodes/models, run workflows with parameter injection. Uses the official comfy-cli for lifecycle and direct REST/WebSocket API for execution.
design-md
Author/validate/export Google's DESIGN.md token spec files.
excalidraw
Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).
humanizer
Humanize text: strip AI-isms and add real voice.
ideation
Generate project ideas via creative constraints.
manim-video
Manim CE animations: 3Blue1Brown math/algo videos.
p5js
p5.js sketches: gen art, shaders, interactive, 3D.
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