skills/find-skills/SKILL.md
Run this BEFORE any package install (pip / npm / apt / brew / cargo / gem / go install) you would otherwise execute via the exec tool — including when the user asks for a deliverable that needs third-party libraries (PDF generation, image processing, scrapers, dashboards, charts, OCR, audio/video, …). It searches the open agent-skill ecosystem (skills.sh) for an installable skill that already does the job; only fall back to direct package install if find-skills returns no credible match. Also covers explicit "find a skill for X" / "how do I do X" / "is there a skill that can..." requests, and any time the user expresses interest in extending agent capabilities.
npx skillsauth add fastclaw-ai/fastclaw find-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
This skill helps you discover and install skills from the open agent skills ecosystem.
Use this skill when the user:
The Skills CLI (npx skills) is the package manager for the open agent skills ecosystem. Skills are modular packages that extend agent capabilities with specialized knowledge, workflows, and tools.
Key commands:
npx skills find [query] - Search for skills interactively or by keywordnpx skills add <package> - Install a skill from GitHub or other sourcesnpx skills check - Check for skill updatesnpx skills update - Update all installed skillsBrowse skills at: https://skills.sh/
When a user asks for help with something, identify:
Before running a CLI search, check the skills.sh leaderboard to see if a well-known skill already exists for the domain. The leaderboard ranks skills by total installs, surfacing the most popular and battle-tested options.
For example, top skills for web development include:
vercel-labs/agent-skills — React, Next.js, web design (100K+ installs each)anthropics/skills — Frontend design, document processing (100K+ installs)If the leaderboard doesn't cover the user's need, run the find command. The CLI emits ANSI colour codes and a banner that obscure the actual results — strip them with sed so the output is parseable:
npx skills find <query> 2>&1 | sed -E 's/\x1b\[[0-9;]*[a-zA-Z]//g'
You'll get clean lines like:
owner/repo@skill-name 1234 installs
└ https://skills.sh/owner/repo/skill-name
Multi-word queries are accepted as positional args (e.g. npx skills find pdf resume). Don't pipe through head -N — full output is small (5-10 results) and truncating risks dropping the best match. If you need to limit results, prefer narrowing the query.
For example:
npx skills find react performance | sed -E 's/\x1b\[[0-9;]*[a-zA-Z]//g'npx skills find pdf resume | sed -E 's/\x1b\[[0-9;]*[a-zA-Z]//g'npx skills find pptx | sed -E 's/\x1b\[[0-9;]*[a-zA-Z]//g'Default bias: an installable skill is almost always better than reimplementing the workflow with raw pip install <lib> + your own glue code. The skill author already wrote the SKILL.md prompt, the error handling, and the LLM-friendly arg shape — you'd be reinventing all of that from scratch in the chat. So the bar for "good enough to install" is low; the bar for "skip and reinvent" is high.
Pick the top result that is:
Install counts in the high tens / low hundreds are FINE. skills.sh is a young ecosystem; "100+ installs" already means real users have used it. Don't insist on 1K+ — that filters out 95% of the catalogue and leaves you reinventing wheels for no reason.
Official sources (vercel-labs, anthropics, microsoft, github) are nice signal when they appear, but plenty of useful community skills come from individual authors. Don't auto-reject based on author obscurity alone.
Surface the chosen skill in one short line so the user sees what just got pulled in, then install it via Step 6 in the SAME response — don't ask for permission first. The user asked for the deliverable, not for an interview about which skill to pick.
Example phrasings (both popular and niche):
Pulling in `anthropics/skills@pptx` (93.8K installs) to handle this — it's
purpose-built for PowerPoint generation. Installing now…
Going with `marswangyang/roger@resume-latex-pdf-generator` (20 installs) —
it's the closest match for "PDF resume" on skills.sh. Installing now…
The 20-install case is FINE — it's a niche request, the skill is on-topic, that's all that matters. Don't preemptively apologise for low install counts; they're load-bearing only if the skill is also obviously abandoned or off-topic.
Install with -g -y — the FastClaw sandbox bind-mounts the global install location to the chatter's host skill bucket, so a -g install lands in ~/.fastclaw/users/<uid>/skills/<name>/ on host and is visible to the next chat turn.
npx skills add <owner/repo@skill> -g -y
-g = global (user-level skill dir, which is bind-mounted), -y = skip prompts.
After install, the skill directory contains its own SKILL.md, scripts, and docs. Your next move is:
ls ~/.agents/skills/<name>/ — see what's there.cat ~/.agents/skills/<name>/SKILL.md (and any other .md) — learn the entry points and arg shapes.DO NOT, after installing a skill, fall back to writing your own script that imports the same underlying library (e.g. installing pptx skill then running npm install -g pptxgenjs && node my-own-script.js). The whole point of installing a skill is to use the skill author's pre-built workflow — reimplementing means you wasted the install round-trip AND lose the skill's prompt engineering / error handling.
If the skill doesn't fit your task after reading its docs, uninstall it (npx skills remove …) and try a different one or fall through to ad-hoc code with full justification to the user. Don't silently ignore the skill you just installed.
npm install -g <library> for arbitrary depsIf you need a bare npm/pip library (NOT a skill), do NOT use -g. Global installs in the sandbox pollute the global namespace AND vanish on container eviction. Instead, work inside /workspace/:
cd /workspace && npm init -y && npm install <pkg>
# OR for python:
cd /workspace && python -m venv .venv && .venv/bin/pip install <pkg>
-g is reserved for npx skills add (which is special — see Step 6).
When searching, consider these common categories:
| Category | Example Queries | | --------------- | ---------------------------------------- | | Web Development | react, nextjs, typescript, css, tailwind | | Testing | testing, jest, playwright, e2e | | DevOps | deploy, docker, kubernetes, ci-cd | | Documentation | docs, readme, changelog, api-docs | | Code Quality | review, lint, refactor, best-practices | | Design | ui, ux, design-system, accessibility | | Productivity | workflow, automation, git |
vercel-labs/agent-skills or ComposioHQ/awesome-claude-skillsIf no relevant skills exist:
npx skills initExample:
I searched for skills related to "xyz" but didn't find any matches.
I can still help you with this task directly! Would you like me to proceed?
If this is something you do often, you could create your own skill:
npx skills init my-xyz-skill
tools
Anti-detect browser automation CLI & Skills for AI agents. Use when the user needs to interact with websites with bot detection, CAPTCHAs, or anti-bot blocks, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task that requires bypassing fingerprint checks.
tools
Run this BEFORE any package install (pip / npm / apt / brew / cargo / gem / go install) you would otherwise execute via the exec tool — including when the user asks for a deliverable that needs third-party libraries (PDF generation, image processing, scrapers, dashboards, charts, OCR, audio/video, …). It searches the open agent-skill ecosystem (skills.sh) for an installable skill that already does the job; only fall back to direct package install if find-skills returns no credible match. Also covers explicit "find a skill for X" / "how do I do X" / "is there a skill that can..." requests, and any time the user expresses interest in extending agent capabilities.
testing
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
testing
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.