Total 50,633 skills, AI & Machine Learning has 8486 skills
Showing 12 of 8486 skills
MediaPipe FaceLandmarkerによる顔メッシュ・ブレンドシェイプ実装パターン。顔468ランドマーク、ARKit互換ブレンドシェイプ、表情認識。mediapipe face mesh landmark blendshapes expression
Extract contact information from business card images using OCR - name, company, email, phone, address.
LeetCode-style PyTorch interview practice environment with auto-grading for implementing softmax, attention, GPT-2 and more from scratch.
Query the AIBTC agent network registry — look up agents by address or name, view network-wide stats, and rank agents by check-ins, achievements, or level.
aibtc.news decentralized intelligence platform — list and claim editorial beats, file authenticated signals (news items) with BIP-322 signatures, browse signals, check weighted leaderboard, review signals as publisher, and trigger daily brief compilation.
Assemble a panel of experts to assess a problem from multiple professional perspectives, surface agreement and disagreement, and deliver a chaired recommendation with clear tradeoffs. Use when the user wants multi-expert judgment, a second opinion, design critique, option comparison, or a recommendation backed by distinct expert viewpoints.
Start here — turn source material into a validated agent skill. Orchestrates cogworks-encode (synthesis) and cogworks-learn (skill generation).
Generate AGENTS.md and CLAUDE.md files for a repository. AGENTS.md provides cross-tool agent instructions (supported by Claude Code, Cursor, Windsurf, Zed, Codex, and others). CLAUDE.md adds Claude-specific configuration and references AGENTS.md via @import. Use when a repo needs agent onboarding or when starting a new project.
Implements any user intent, requirement, story, bug fix or change request by producing clean working code artifacts that follow the project's existing architecture, patterns and conventions. Use when the user wants to build, fix, tweak, refactor, add or modify any code, component or feature.
This skill should be used when the user asks to "fix the issues", "optimize existing content", "create new content for AI visibility", "run Morphiq Build", "generate schema markup", "create an llms.txt file", "run the content lab", or mentions building content fixes, generating schema, rewriting content for AI citations, or creating policy files. Consumes a Prioritized Roadmap (or user prompt, or existing content) and produces build artifacts through a 6-step content lab pipeline.
Installs, configures, audits, and operates Agent Package Manager (APM) in repositories. Use when initializing apm.yml, installing or updating packages, validating manifests, managing lockfiles, compiling agent context, browsing MCP servers, setting up runtimes, or packaging resolved context for CI and team distribution. Don't use for writing a single skill by hand, generic package managers like npm or pip, or non-APM agent configuration systems.
Task-based multi-agent coordination (includes Issue Remediation Loop)