Loading...
Loading...
Found 565 Skills
Edit existing MTHDS bundles (.mthds files). Use when user says "change this pipe", "update the prompt", "rename this concept", "add a step", "remove this pipe", "modify the workflow", "modify the method", "refactor this pipeline", or wants any modification to an existing .mthds file. Supports automatic mode for clear changes and interactive mode for complex modifications.
Create technical bundles of code, design, and documentation for external review or context sharing. Use when you need to package multiple project files into a single Markdown file while preserving folder hierarchy and providing contextual notes for each file.
Expert security auditor for AI Skills and Bundles. Performs non-intrusive static analysis to identify malicious patterns, data leaks, system stability risks, and obfuscated payloads across Windows, macOS, Linux/Unix, and Mobile (Android/iOS).
Update agent skills installed with the `skills` CLI. Use when asked to refresh installed skills, keep a project's skills current, or troubleshoot cases where `npx skills update` reports that everything is up to date. For project-scoped installs, a no-change update must immediately run the bundled reinstall script so tracked skills from `skills-lock.json` are reinstalled without extra investigation.
Run explicit Extruct API tasks through the bundled Extruct CLI. Covers Deep Search, semantic search, lookalike search, company and people tables, column operations, enrichment, and contact finding.
Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.
Guides the agent through Capgo native cloud build workflows for iOS and Android. Use when requesting a native build, configuring build credentials, updating signing material, or controlling build output upload behavior. Do not use for OTA bundle uploads or generic CI setup without Capgo builds.
Produce a long-form, shareable markdown writeup on whether Claude has regressed on this user's work. A bundled Python script scans `~/.claude/projects/`, computes every metric, and renders a markdown skeleton with tables already filled — in ~2.5s. Claude fills a dozen short narrative placeholders and saves. Writes `./cc-canary-<YYYY-MM-DD>.md` suitable for pasting into a GitHub issue or gist.
Single entry point for one-shot, end-to-end DatoCMS project setup orchestration — the only skill that bundles prerequisites, chains related recipes, and takes a greenfield or partially configured project to a working state in one pass. Covers five setup lanes: (1) frontend foundation (bootstrap a new Next.js/Nuxt/SvelteKit/Astro integration from scratch); (2) frontend features (draft mode, visual editing, web previews, content link, real-time updates, responsive images, SEO, robots/sitemaps, site search, revalidation/cache tags — applied together with their prerequisites); (3) migrations (CLI profiles, baseline migrations, shared histories, release workflow, sandbox reset loops, diff-based generation); (4) onboarding imports (WordPress, Contentful — content plus assets); (5) platform automation (CMA scripting patterns and project-level automation). Use when the user wants a named outcome scaffolded in full rather than a single file patched, when multiple related features need to land together (e.g. "set up visual editing" implies draft mode + content link + web previews), or when the request is a broad "set up X" that needs routing to the smallest matching recipe bundle.
Find dead code and cleanup candidates such as unused exports, unreachable branches, orphaned files, stale feature flags, dead registrations, and compatibility layers with no live callers. Use when auditing refactors, bundle-size cleanup, architecture simplification, pre-release cleanup, reviewing requests to find unused code or decide what can be deleted, or when deciding whether code can be safely removed or auto-fixed.
Plan and run pre-release OpenClaw plugin validation across bundled plugins, package artifacts, lifecycle commands, doctor/fix, config round-trip, gateway startup, SDK compatibility, Docker E2E, Package Acceptance, and Testbox proof.
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.