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Discover skills

Discover and install skills to enhance your AI agent's capabilities.

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NameContainsScore

spotify-player

openclaw/openclaw

Terminal Spotify playback/search via spogo (preferred) or spotify_player.

Skills

64

openclaw/openclaw

Author or review AgentSkills: create, repair, validate, or restructure SKILL.md files and bundled resources.

Skills

64

openclaw/openclaw

ElevenLabs text-to-speech with mac-style say UX.

Skills

64

openclaw/openclaw

Foodora-only CLI for checking past orders and active order status (Deliveroo WIP).

Skills

64

openclaw/openclaw

Control Philips Hue lights and scenes via the OpenHue CLI.

Skills

64

openclaw/openclaw

Work with Obsidian vaults using the official obsidian CLI: read/search/create/edit notes, tasks, links, properties, plugins.

Skills

64

openclaw/openclaw

Edit PDFs with natural-language instructions using the nano-pdf CLI.

Skills

64

openclaw/openclaw

Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.

Skills

64

openclaw/openclaw

List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.

Skills

64

openclaw/openclaw

Start voice calls via the OpenClaw voice-call plugin.

Skills

64

openclaw/openclaw

Run, watch, debug, and summarize OpenClaw full release CI, release checks, live provider gates, install/update proofs, and release-secret preflights.

Skills

64

openclaw/openclaw

Run, watch, debug, extend, or explain OpenClaw qa-lab and qa-channel scenarios, artifacts, and live lanes.

Skills

64

launchdarkly/ai-tooling

Apply LaunchDarkly SDK onboarding: install dependency (or dual-SDK pair), configure env and secrets with consent, add init at entrypoint(s), verify compile. Nested under sdk-install; next is run.

Skills

64

majiayu000/claude-skill-registry-data

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

Skills

64

jscraik/Agent-Skills

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

Skills

64

jscraik/Agent-Skills

Review file-based todo findings into ready, skipped, customized, or blocked states. Use this skill when pending todo files need approval.

Skills

64

jscraik/Agent-Skills

Turn Slack #code-fixes, CodeRabbit, Codex Review, CI, and check-status noise into a repo-and-PR action queue. Use when Jamie asks for a daily code-fixes digest, recent review-noise triage, or what needs fixing across active engineering repos.

Skills

64

jscraik/Agent-Skills

Explains James Moss's team-skills workflow and helps design skill governance: decomposition, ownership, versioning, eval scenarios, quality review, and lifecycle maintenance. Use when the user asks about moving from solo skill hacks to team workflow, avoiding skill sprawl, or treating skills like software.

Skills

64

jscraik/Agent-Skills

Use when the user asks about Patrick Debois's talk "Coding Agents Don't Scale Themselves. Neither Do Your Teams. The Rise of Agent Enablement." — including questions about agent enablement teams, the three pillars (Enablement, Platform, Governance), the Context Development Lifecycle applied to org charts, AI product engineers, agent KPIs like turns-per-task, harnesses and shared context libraries, fixing the system vs. fixing the code, the barrel mental model, continuous learning as the next CI/CD, or how VPs / team leads / platform teams should scale AI coding agents across an org.

Skills

64

Use when the user asks about Justin Cormack's AI Native DevCon talk on tests, observability, AI-generated behavior, evidence, instrumentation, and keeping AI systems honest when test signals are incomplete.

Skills

64

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