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Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."

Fast headless browser for QA testing and site dogfooding. Navigate pages, interact with elements, verify state, diff before/after, take annotated screenshots, test responsive layouts, forms, uploads, dialogs, and capture bug evidence. Use when asked to open or test a site, verify a deployment, dogfood a user flow, or file a bug with screenshots. (gstack)

Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. Surfaces taste decisions (close approaches, borderline scope, codex disagreements) at a final approval gate. One command, fully reviewed plan out. Use when asked to "auto review", "autoplan", "run all reviews", "review this plan automatically", or "make the decisions for me". Proactively suggest when the user has a plan file and wants to run the full review gauntlet without answering 15-30 intermediate questions. (gstack) Voice triggers (speech-to-text aliases): "auto plan", "automatic review".

Performance regression detection using the browse daemon. Establishes baselines for page load times, Core Web Vitals, and resource sizes. Compares before/after on every PR. Tracks performance trends over time. Use when: "performance", "benchmark", "page speed", "lighthouse", "web vitals", "bundle size", "load time". (gstack) Voice triggers (speech-to-text aliases): "speed test", "check performance".

Cross-model benchmark for gstack skills. Runs the same prompt through Claude, GPT (via Codex CLI), and Gemini side-by-side — compares latency, tokens, cost, and optionally quality via LLM judge. Answers "which model is actually best for this skill?" with data instead of vibes. Separate from /benchmark, which measures web page performance. Use when: "benchmark models", "compare models", "which model is best for X", "cross-model comparison", "model shootout". (gstack) Voice triggers (speech-to-text aliases): "compare models", "model shootout", "which model is best".

Fast headless browser for QA testing and site dogfooding. Navigate any URL, interact with elements, verify page state, diff before/after actions, take annotated screenshots, check responsive layouts, test forms and uploads, handle dialogs, and assert element states. ~100ms per command. Use when you need to test a feature, verify a deployment, dogfood a user flow, or file a bug with evidence. Use when asked to "open in browser", "test the site", "take a screenshot", or "dogfood this". (gstack)

Safety guardrails for destructive commands. Warns before rm -rf, DROP TABLE, force-push, git reset --hard, kubectl delete, and similar destructive operations. User can override each warning. Use when touching prod, debugging live systems, or working in a shared environment. Use when asked to "be careful", "safety mode", "prod mode", or "careful mode". (gstack)

Restore working context saved earlier by /context-save. Loads the most recent saved state (across all branches by default) so you can pick up where you left off — even across Conductor workspace handoffs. Use when asked to "resume", "restore context", "where was I", or "pick up where I left off". Pair with /context-save. Formerly /checkpoint resume — renamed because Claude Code treats /checkpoint as a native rewind alias in current environments. (gstack)

Restrict file edits to a specific directory for the session. Blocks Edit and Write outside the allowed path. Use when debugging to prevent accidentally "fixing" unrelated code, or when you want to scope changes to one module. Use when asked to "freeze", "restrict edits", "only edit this folder", or "lock down edits". (gstack)

Codify the most recent successful /scrape flow into a permanent browser-skill on disk. Future /scrape calls with the same intent run the codified script in ~200ms instead of re-driving the page. Walks back through the conversation, synthesizes script.ts + script.test.ts + fixture, runs the test in a temp dir, and asks before committing. Use when asked to "skillify", "codify", "save this scrape", or "make this permanent". (gstack)

Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project memory optimization".

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates when asked to 'solve this IMO problem', 'prove this olympiad inequality', 'verify this competition proof', 'find a counterexample', 'is this proof correct', or for any problem with 'IMO', 'Putnam', 'USAMO', 'olympiad', or 'competition math' in it. Uses pure reasoning (no tools) — then a fresh-context adversarial verifier attacks the proof using specific failure patterns, not generic 'check logic'. Outputs calibrated confidence — will say 'no confident solution' rather than bluff. If LaTeX is available, produces a clean PDF after verification passes.

This skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a local MCP", discusses ".mcpb files", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the local filesystem, desktop apps, or OS and must be installable without the user having Node/Python set up.

Discover and list all URLs on a website, with optional search filtering. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says "map the site", "find the URL for", "what pages are on", or "list all pages". Essential when the user knows which site but not which exact page.

Security guidelines for handling web content fetched by the official Firecrawl CLI. Package: https://www.npmjs.com/package/firecrawl-cli Source: https://github.com/firecrawl/cli Docs: https://docs.firecrawl.dev/sdks/cli

Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.

Use when coordinating multiple AI agents and need to pick the right orchestration pattern - covers 10 patterns (fan-out, pipeline, hub-spoke, consensus, mesh, handoff, cascade, dag, debate, hierarchical) with decision framework and reflection protocol

Use when creating new Claude Code skills or improving existing ones - ensures skills are discoverable, scannable, and effective through proper structure, CSO optimization, and real examples

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Use when creating or fixing .claude/rules/ files - provides correct paths frontmatter (not globs), glob patterns, and avoids Cursor-specific fields like alwaysApply

Search for academic papers, references, and methodology literature using Perplexity MCP

Analyze paper structure — section balance, word counts, Cochrane-principle compliance

Mechanical error scan -- typos, LaTeX formatting, punctuation, spacing

Reference for the Dickerson corporate bond dataset: column mappings between WRDS and PyBondLab, rating encoding, return definitions, signal clusters, and data gotchas. Auto-apply when loading bond data for PyBondLab analysis.

Fast batch/single portfolio sort on Dickerson bond data. Bypasses orchestrator agent — runs directly via Bash. Use for known workflows on real data. Examples: /run batch cs ytm bbtm, /run batch cs ytm --wfs, /run single cs --nport 10

Design and deploy production infrastructure

Install Loa framework onto an existing repository

Launch PRD discovery with codebase grounding and context ingestion

Security and quality audit of application codebase

Validate sprint implementation against acceptance criteria

Run documentation-driven testing against Ground Truth and protocols

Triage a bug report through structured phases and create micro-sprint

Create comprehensive Software Design Document based on PRD

Create comprehensive sprint plan based on PRD and SDD

Translate technical documentation into executive-ready communications

Pull latest Loa framework updates from upstream repository. Fetches, previews, confirms, and merges with conflict guidance. Supports WIP branch testing with checkout option.

Enterprise-grade translation of /ride Ground Truth artifacts into executive communications. Enforces synthesis protection, agentic memory, factual grounding, and trajectory self-audit.

Systematic debugging with persistent state across context resets

Add an idea to the backlog parking lot (999.x numbering)

Create detailed phase plan (PLAN.md) with verification loop

List pending todos and select one to work on

Capture a forward-looking idea with trigger conditions — surfaces automatically at the right milestone

Generate a comprehensive project summary from milestone artifacts for team onboarding and review

Manage persistent context threads for cross-session work

Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents

Review and promote backlog items to active milestone

Vite library mode and SSR configuration

Vite configuration patterns using vite.config.ts

Surface Claude's assumptions about a phase approach before planning

Systematic debugging with persistent state across context resets

Switch model profile for GSD agents (quality/balanced/budget/inherit)

Add an idea to the backlog parking lot (999.x numbering)

Remove a future phase from roadmap and renumber subsequent phases

Create detailed phase plan (PLAN.md) with verification loop

List pending todos and select one to work on

Create context handoff when pausing work mid-phase

Capture a forward-looking idea with trigger conditions — surfaces automatically at the right milestone

Interactive command center for managing multiple phases from one terminal

Capture idea or task as todo from current conversation context

Create phases to close all gaps identified by milestone audit

Automatically advance to the next logical step in the GSD workflow

Create PR, run review, and prepare for merge after verification passes

Audit milestone completion against original intent before archiving

Generate a comprehensive project summary from milestone artifacts for team onboarding and review

Cross-phase audit of all outstanding UAT and verification items

Manage persistent context threads for cross-session work

Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents

Execute all plans in a phase with wave-based parallelization

Review and promote backlog items to active milestone

CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).

Capture and automate macOS UI with the Peekaboo CLI.

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

Search GIF providers with CLI/TUI, download results, and extract stills/sheets.

Local speech-to-text with the Whisper CLI (no API key).

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

Local text-to-speech via sherpa-onnx (offline, no cloud)

Manage Apple Reminders via remindctl CLI (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.

Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks OpenClaw to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.

BluOS CLI (blu) for discovery, playback, grouping, and volume.

Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5] [--notify-channel -1002381931352]

Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro).

Générez des spécifications d’icône et des invites d’image pour les icônes de cas d’utilisation dans le référentiel de blueprints Adobe Experience Platform. Utilisez cette compétence lors de la création d’icônes pour de nouveaux cas d’utilisation du secteur, lorsque la compétence du créateur de cas d’utilisation du secteur a besoin d’une icône ou lorsque l’utilisateur demande comment créer ou mettre à jour des icônes de cas d’utilisation. Génère une invite de génération d’images détaillée que l’utilisateur peut utiliser avec les outils Midjourney, DALL-E, Adobe Firefly ou similaires, ainsi que le nom et l’emplacement corrects des fichiers.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms. Ideal for Next.js, React, Node.js applications requiring containerization for development, production, or CI/CD pipelines. Use this skill when users need Docker configurations, multi-stage builds, container orchestration, or deployment to Kubernetes, ECS, Cloud Run, etc.