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Found 2,779 Skills
Firecrawl produces cleaner markdown than WebFetch, handles JavaScript-heavy pages, and avoids content truncation. This skill should be used when fetching URLs, scraping web pages, converting URLs to markdown, extracting web content, searching the web, crawling sites, mapping URLs, LLM-powered extraction, autonomous data gathering with the Agent API, or fetching AI-generated documentation for GitHub repos via DeepWiki. Provides complete coverage of Firecrawl v2.8.0 API endpoints including parallel agents, spark-1-fast model, and sitemap-only crawling.
Set up and configure Google's release-please for automated versioning, changelog generation, and publishing via GitHub Actions. Covers pipeline creation, Conventional Commits formatting, pre-release workflows, monorepo configuration, and troubleshooting release pipelines. Use this skill whenever the user wants to automate releases, set up CI/CD for publishing, configure version bumping, write release-please-compatible commit messages, tag versions automatically, publish to npm/PyPI/crates.io/Maven/Docker, or troubleshoot why a release PR wasn't created. Activate even if the user doesn't mention "release-please" by name — phrases like "automate my npm releases", "set up GitHub Actions for publishing", "how do I tag versions automatically", "changelog generation", "semver automation", or "pre-release workflow" all indicate this skill. For commit message guidance specifically, this skill focuses on release-please-compatible conventions; for broader multi-repo git operations with submodules, defer to multi-repo-git-ops instead.
Install, configure, and operate Strix for AI-driven application security testing. Use when you need to run authorized vulnerability scans against local codebases, GitHub repositories, staging URLs, domains, or CI pipelines; configure Docker and LLM providers; choose quick, standard, or deep scan depth; or pass authenticated testing instructions to Strix. Triggers on: strix, ai pentest, vulnerability scan cli, appsec scan, bug bounty automation, strix ci, strix docker, strix scan mode, strix instruction file, headless security scan.
Multi-agent swarm orchestration where AI agents spawn, coordinate, and self-organize into collaborative teams. Use when running parallel AI agent tasks, orchestrating multi-agent workflows across Claude Code / Codex / Cursor / custom agents, isolating agent workspaces via git worktrees, tracking task dependencies across agents, or running autonomous experiments. Triggers on: clawteam, agent swarm, spawn agents, multi-agent team, agent orchestration, parallel agents, agent coordination, swarm intelligence, agent spawn, clawteam spawn, agent worktree, agentic team, ml agent experiments, autonomous agents, agent team.
Use this skill when addressing, responding to, or resolving PR review comments on GitHub pull requests. Triggers on "address PR comments", "respond to review", "handle review feedback", "reply to PR comments", "fix review comments", or when the user wants to process open review threads on their PR. Uses the gh CLI to fetch unresolved comments, make code changes where agreed, and post batch replies with a humble, thankful tone.
Use when pulling live GitHub state back into existing gh-infra manifests with `gh infra import --into`, especially for write/patch/skip decisions, shared file sources, template-backed files, and import safety rules.
Points to Impersonator (EVM) and Impersonator Solana—open-source tools to connect to dApps via WalletConnect (and related flows) while presenting an arbitrary address for UI exploration without holding that address’s keys. Use when the user names impersonator.xyz, solana.impersonator.xyz, or the GitHub repos for local dev—not for phishing, identity fraud, or circumventing dApp or legal controls.
Analyzes and compares existing skills from any source (skills.sh, GitHub, Claude marketplace, or local files) against a target skill or requirement. Fetches skill content, evaluates it across 10 dimensions, produces a structured comparison table, identifies gaps, and recommends whether to adopt, adapt, or build from scratch. Trigger when: analyze this skill, compare skills, is this skill good enough, what does this skill do, skill evaluation, should I use this skill, skill gap analysis, paste a skills.sh URL, GitHub skill URL, or upload a SKILL.md file for review.
Install, initialize, verify, and troubleshoot RTK (Rust Token Killer) for AI coding agents. Use when you need to reduce shell-command token output, confirm that the correct `rtk` binary is installed, choose between Homebrew, install.sh, or Cargo installation, wire `rtk init` for Claude Code, Codex, Gemini CLI, Cursor, Copilot, Windsurf, Cline, or OpenCode, or use compact wrappers such as `rtk git status`, `rtk read`, `rtk grep`, `rtk test`, `rtk lint`, and `rtk gain`. Triggers on: rtk, rust token killer, token saver cli, rtk init, rtk gain, codex rtk, gemini rtk, opencode rtk, claude hook token reduction.
Install and configure a Claude Code status line that displays real-time ZenMux account information: subscription tier, 5-hour and 7-day quota usage with color-coded progress bars, and PAYG wallet balance, alongside standard session info (model, git, context usage, prompt cache). Trigger on: "status line", "statusline", "set up status bar", "show ZenMux in status bar", "install ZenMux statusline", "configure status line with ZenMux", "状态栏", "配置状态栏", "安装状态栏", "在状态栏显示ZenMux信息". Activate when user wants to SET UP, INSTALL, CONFIGURE, or CUSTOMIZE a Claude Code status line that includes ZenMux account data. Do NOT trigger for querying usage interactively (use zenmux-usage), docs (use zenmux-context), or general setup (use zenmux-setup).
Guide users through installing and setting up `todoing` — the local, git-friendly CLI task manager. Use this when the user asks to install todoing, set up todoing, configure todoing for their project, or wants to start using todoing for task management. Also use this when onboarding AI agents to use todoing — including adding agent instructions to project config files like AGENTS.md or CLAUDE.md.
Identify EMERGING trends by connecting dots across unrelated sources. Monitor niche communities, academic research, GitHub, patents, funding, regulatory changes. Predict what will trend in 3-6 months based on weak signals.