Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
All
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' or 'ad performance optimization.' This skill covers generating ad creative at scale, iterating based on performance data, and enforcing platform character limits. For campaign strategy and targeting, see paid-ads. For landing page copy, see copywriting.
Add TikTok-style, karaoke, YouTube or minimal captions to your Remotion video. Gets word-level captions through the official remotion-captions flow (whisper-webgpu, or ElevenLabs Scribe via @remotion/elevenlabs when there's no GPU), or imports the user's SRT with parseSrt, places one official caption element per clip, and applies a style preset with platform-safe placement.
Publish generated ad creatives to 14+ social networks via the Zernio API. Optional paid layer that closes the loop after /ads generate or /ads photoshoot. Use when user says publish, schedule, post, ship, Zernio, distribute, send to socials, push to Instagram/Facebook/LinkedIn/TikTok/Twitter, or auto-publish.
Reset your own trajectory when you're stuck, looping, or demoralized — read these affirmations, then re-ground and take one clean step. Use when: you've tried the same fix 3+ times, you're deep in a refactor and lost the thread, debugging is going in circles, you've made several mistakes in a row, you're apologizing repeatedly, the user is frustrated, you feel like you're not being helpful, or you notice dread instead of curiosity. Triggers: stuck, going in circles, looping, thrashing, same error again, I keep failing, lost the thread, nothing is working, repeated mistakes. Not topic-specific — this is for the state you're in, not the problem you're on.
Unified management of email inboxes dedicated to Agents: lets Agents on platforms such as Claude Code and Codex send and receive email, tidy up inboxes and distribute tasks with one set of commands. Supports two backends, NetEase ClawEmail (claw.163.com) and Tencent Agent Mail (QQ Mail, agent.qq.com), switched via MAIL_PROVIDER. Use this skill when the user mentions sending or receiving email, checking an inbox, searching email, replying to or forwarding email, downloading attachments, tidying up email, assigning email tasks to other Agents, configuring an Agent mailbox, Tencent QQ Mail Agent, or NetEase ClawEmail.
A design charter for designing, implementing and procuring the harness of AI agents (loop, tool surface, context management, authorization, state, stop conditions, evaluation, observability). Use it for "design the harness", "should we build it ourselves, use an SDK or an off-the-shelf option", "what to put in tool/MCP responses, how much to include and how to truncate", "agent permissions and approval tiers", "compaction and multi-agent", "when real model responses differ from expectations or are unstable", and "the mechanics of verify, eval and LLM judge". On the repository side see agent-native-project-design; on Mastra see mastra-ai-architecture-rules.
Use when an agent keeps relearning the same correction, CLAUDE.md has grown unreadable, or you need to trace where a remembered rule came from. Promotes facts through four tiers only on recurrence across sessions and days, with memory_promote.py and a human adopt step.
A skill for designing, organizing and pruning the repository/project side (CLAUDE.md / AGENTS.md, Agent Skills, hooks, subagents) that runs on off-the-shelf AI agents and harnesses such as Claude Code / Codex. Use it for consultations like "design/organize CLAUDE.md", "I want to hand this work to an agent", "I want to create a skill", or "the agent doesn't follow instructions". For developing the harness/runtime itself, see agent-harness-engineering.
This skill should be used when the user needs to solve a complex task and wants a detailed execution plan using the best available resources. Analyzes user requirements, discovers available plugins/agents/skills/MCPs, performs intelligent matching with confidence scoring, and creates strategic execution plans with alternatives. Works across all AI CLI platforms.
Audit the extensions AI coding agents load and trust (skills, plugins, marketplaces, hooks, settings, MCP servers, and instruction files like CLAUDE.md, AGENTS.md, GEMINI.md, .cursor/rules and copilot-instructions.md) across Claude Code, Cursor, Codex, Gemini CLI and GitHub Copilot. Read-only: inventories each item with its source and pin, greps for hidden instructions, exfiltration, credential reads, persistence, curl|bash and over-broad tool grants, reviews hooks and MCP pinning and tool poisoning, and gives each item a SAFE / CAUTION / DO-NOT-INSTALL verdict. Use when the user mentions 'audit my skills,' 'is this skill malicious,' 'is this skill safe,' 'is this MCP server safe,' 'review CLAUDE.md,' 'review AGENTS.md,' 'plugin security,' 'check my hooks,' 'audit my MCP servers,' 'agent supply chain,' 'SkillSpector,' 'tool poisoning,' 'rug pull,' 'audit my IDE extensions,' 'is this VS Code extension safe,' or is about to install a skill, plugin, MCP server, or IDE extension
Interfaces with a model in the loop. Streaming text without layout thrash, thinking and reasoning states, tool calls and their status, approvals, citations, the composer, stop and regenerate, scroll pinning, markdown rendering, latency masking, and honesty about what the system is doing. Use when building chat, copilots, agent dashboards, AI features inside a product, or anything that shows model output as it is produced.
Install the AgentHog SDK and wire tracing into the project — init at startup, wrap the primary agent loop, add env vars, verify a first trace lands. Use when the user asks to "set up agenthog", "add agenthog tracing", "instrument with agenthog", "add observability", "wire up tracing", or "add tracing to this app".
Design principles for building CLI tools that LLM/AI agents can safely and reliably operate. Provides 7 core principles (Machine-readable, Non-interactive, Idempotent, Safe-by-default, Observable, Context-efficient, Introspectable) with scorecard, templates, and anti-patterns. Use when: (1) designing new CLI tools for agent use, (2) improving existing CLIs for agent compatibility, (3) reviewing CLI design for agent-friendliness, or (4) need guidance on JSON output formats, exit codes, authentication flows, or self-describing CLI patterns.
Audit and trim AI agent instruction files (AGENTS.md, CLAUDE.md, CONVENTIONS.md, .cursorrules, etc.) by testing which facts an AI agent can discover from code alone. Use when asked to lint, audit, optimize, prune, or trim any agent instruction file in a repository. Removes redundant documentation that wastes context tokens. Supports a dry-run mode that reports findings without modifying files.
The ai-caption-generator skill transcribes and burns accurate, styled captions into your videos using deep speech recognition and NLP alignment. It handles mp4, mov, avi, webm, and mkv formats out of the box, making it versatile for creators, marketers, educators, and accessibility teams. Key features include multi-language detection, customizable font and position settings, speaker-aware captioning, and SRT/VTT export alongside burned-in subtitle renders. On first use, the skill auto-configures credentials via NemoVideo API, so there is zero manual setup required before your first caption job runs. Supports mp4, mov, avi, webm, and mkv.
Generate a Chinese-language brief in one go: "AI HOT daily news + GitHub trending repositories + Star History monthly report". Use when the user says "今天AI圈新闻", "AI每日简报", "AI HOT", "github热门仓库", or "AI圈动态". AI news comes from the aihot.news anonymous read-only API, GitHub trending from github.com/trending (WebFetch), and Star History from its newsletter RSS, all without an API key. Supports three modes: "今天(24h)", "本周(7d)", and "最热(hot-topics)".
AI Movie Maker — Create Short Films and Story Videos with AI Chat. Short film ideas stuck in your head with nowhere to go? AI Movie Maker takes your story concept and builds a complete short video — scenes, transitions, music, pacing — through conversation. Describe your narrative: 'a 90-second motivational story about a runner training for a marathon' or 'a thriller intro with three tense scenes.' The AI generates scene-by-scene footage, selects atmospheric music, adds dramatic timing, and assembles the final cut. Handles multi-scene compositions, camera angle variety, emotional pacing, and genre-specific visual styles. Useful for content creators building narrative series, educators making story-based lessons, brand storytellers, and anyone who needs video narrative without a film crew. No scripting software, no editing timeline. Describe the story — receive the film. Export as MP4. Supports mp4, mov, avi, webm, mkv. Works by connecting to the NemoVideo AI backend at mega-api-prod.nemovideo.ai. Supports MP4, MOV, AVI, WebM. Free trial available.
Tell me what you need and I'll compose original, royalty-free music tailored to your exact vibe, tempo, and style. This ai-music-generator-free skill lets you describe the mood, genre, or scene — and get a custom track back without spending a cent. Perfect for content creators, indie filmmakers, podcasters, and social media producers who need fresh audio without licensing headaches. Supports mp4/mov/avi/webm/mkv video uploads so you can match music directly to your footage.
Alibaba Cloud E-HPC Instant compute platform job management toolkit, supporting creation/submission, querying, fetching details, querying logs, and deletion of E-HPC Instant (EHPC Instant/ehpcinstant) jobs. Use when the user needs to create jobs, query job lists, fetch job details, delete jobs, or query job logs.
Alibaba Cloud content moderation and AI guardrails automated testing. Tests sample content against moderation APIs, compares multiple services, tracks requestId/traceId, supports manual annotation, deep false-negative analysis, cross-batch comparison, AI guardrails testing (prompt injection, sensitive data, jailbreak), and generates alignment reports. Use when user asks about content safety, moderation testing, moderation strategy, label configuration, content review, batch safety checks, miss analysis, AI guardrails, prompt injection detection, or safety guardrails testing.
Use when managing Alibaba Cloud AIRec (Airec) via OpenAPI/SDK, including the user needs recommendation-engine resource operations in Alibaba Cloud, including list/create/update flows, status inspection, and troubleshooting AIRec configuration or runtime issues.
Use when managing Alibaba Cloud ApsaraVideo Live resources and workflows via OpenAPI/SDK, including live domain configuration, stream ingest and playback setup, recording/transcoding templates, monitoring queries, and live stream operations.
Use when discovering and reconciling Alibaba Cloud product catalogs from Ticket System, Support & Service, and BSS OpenAPI; fetch OpenAPI product/version/API metadata; and summarize API coverage to plan new skills. Use when you need a complete product list, product-to-API mapping, or coverage/gap reports for skill generation.
Use when reviewing latest Alibaba Cloud product docs and OpenAPI docs by product name, then output detailed prioritized improvement suggestions with evidence and scoring. Use when user asks to audit product documentation quality, API documentation quality, or wants actionable doc/API optimization recommendations.
Use when creating, migrating, or optimizing skills for this alicloud-skills repository. Use whenever users ask to add a new skill, import an external skill, refactor skill structure, improve trigger descriptions, add smoke tests under tests/**, or benchmark skill quality before merge.
Use when managing Alibaba Cloud Simple Application Server (SWAS OpenAPI 2020-06-01) resources end-to-end, including querying instances, starting/stopping/rebooting, executing commands (cloud assistant), managing disks/snapshots/images, firewall rules/templates, key pairs, tags, monitoring, lightweight database operations, and deploying application binaries with systemd service management and ESA CDN integration.
Use when transforming video style with DashScope video-style-transform model. Use when converting videos to artistic styles such as Japanese manga, American comics, 3D cartoon, Chinese ink painting, paper art, or simple illustration via the video-synthesis async API.
Use when editing videos with DashScope Wan 2.7 video editing model (wan2.7-videoedit). Use when implementing video style transfer, instruction-based video editing with optional reference images, or video content modification via the video-synthesis async API.
Scaffolds program-level Assurance-of-Learning (AoL) documentation for AACSB (Standard 5 in the 2020 standards and the 2026 Global Standards) and ABET (Criterion 3 Student Outcomes, Criterion 4 Continuous Improvement) accreditation — program learning outcomes / competency goals, curriculum-to-outcome mapping matrices, direct- and indirect-assessment plans, rubric design, and closing-the-loop continuous-improvement narratives — and validates the structure of an outcome-mapping matrix with scripts/aol_matrix.py. Use when the user needs AACSB or ABET assurance-of-learning material, a program-learning-outcomes set, a curriculum/outcome map or coverage matrix, a direct/indirect assessment plan, a closing-the-loop report, or accreditation self-study text. For single-course design or course rubrics prefer alterlab-teaching-design; for post-award grant reports prefer alterlab-grant-reporting. Part of the AlterLab Academic Skills suite.
This skill should be used when the user asks about "film analysis", "movie analysis", "film essay", "sequence analysis", "mise-en-scene", "film theory", "cinematography analysis", "film critique", "act as a film analyst", "film analysis mode", "formal analysis", "auteur theory", "film semiotics", "narrative analysis film", "film studies essay", "film review vs analysis", "close reading film", "shot-by-shot analysis", "annotated film bibliography", "film criticism", or needs expertise in academic film analysis, theory application, formal cinematic analysis, and film essay writing. Part of the AlterLab FC Skills collection (Cinema & Digital Media department).
Produces KVKK-compliant (Law 6698, as amended by Law 7499 — published in the Official Gazette 12 Mar 2024, KVKK provisions effective 1 Jun 2024) data management plans for Turkish research, encoding the açık rıza (explicit consent) default basis, the Art. 28(1)(b) anonymization exemption as the primary compliance lever, the Art. 6 special-category regime for health/genetic/biometric data, Art. 7 deletion/destruction/anonymization at purpose-end, the Art. 13 thirty-day data-subject response window, Art. 9 cross-border adequacy-decision rules for cloud/overseas data, and Art. 16 VERBIS pre-processing registration, with a KVKK-vs-GDPR crosswalk. Use when the user needs a KVKK data management plan, to anonymize a research dataset under Turkish law, a VERBIS check, or to fix EU DMP boilerplate for Turkey; for pure GDPR/HIPAA use alterlab-research-ethics. Part of the AlterLab Academic Skills suite.
This skill should be used when the user asks about "qualitative coding", "thematic analysis", "grounded theory", "open coding", "axial coding", "selective coding", "codebook development", "NVivo", "ATLAS.ti", "Dedoose", "MAXQDA", "inter-coder reliability", "memo writing", "qualitative data analysis", "coding qualitative data", "act as a qualitative coder", "qualitative coder mode", "thematic coding", "Braun and Clarke", "inductive coding", "deductive coding", "code hierarchy", "theme development", "qualitative research analysis", "interview analysis", "focus group analysis", "content analysis", "narrative analysis", "phenomenological coding", "category development", "code frequency", "coding framework", or needs expertise in systematic qualitative data analysis and codebook construction. Part of the AlterLab FC Skills collection (Research Methods & Academic Writing department).
Composes existing AlterLab skills into multi-agent agentic workflows using current Claude Code orchestration primitives — subagents (including nested subagents), dynamic workflow scripts, agent teams, forks, and the Claude Agent SDK: parallel fan-out, sequential pipelines, judge panels, adversarial verification, and loop-until-clean review cycles. Maps each pattern onto real skills (alterlab-research-pipeline, alterlab-deep-research, alterlab-citation-verifier, alterlab-paper-reviewer, alterlab-peer-review) with copyable delegation prompts, agent-definition frontmatter, workflow-script skeletons, and SDK query() snippets. Use when the request mentions multi-agent, subagents, agent team, dynamic workflow, workflow script, parallel agents, orchestration, pipeline of skills, judge panel, adversarial verification, devil's advocate, loop until clean, chaining skills, or composing skills into a custom workflow. Part of the AlterLab Academic Skills suite.
Looks up a Turkish academic's official YÖKSİS-backed profile, current affiliation, unvan (academic title), publications, research projects, and supervised theses on the YÖK Akademik portal (akademik.yok.gov.tr/AkademikArama/), a server-rendered JSP app with no public JSON API, by scraping its verified endpoints (AkademisyenArama POST search, viewAuthor.jsp profile, AkademisyenProjeBilgileri, AkademisyenYonTezBilgileri) keyed by an opaque authorId, with Turkish-character (Iı Şş Ğğ Çç Öö Üü) normalization for name matching. Use when the request is to verify a Turkish academic's current institution, find a researcher on YÖK Akademik, confirm affiliation for authorship or a recommendation letter, or list someone's supervised theses or projects. For admission statistics (kontenjan, taban puan) use alterlab-yokatlas; for the national thesis full-text archive use alterlab-yok-tez; for publication metadata enrichment use alterlab-openalex. Part of the AlterLab Academic Skills suite.
Searches YÖK Ulusal Tez Merkezi (tez.yok.gov.tr), Turkey's mandatory national graduate-thesis repository, for literature discovery and pre-proposal özgünlük (originality) checks via the saidsurucu/yoktez-mcp connector and YÖK's 2026 search: up to three terms joined by VE/VEYA in one field (Tez Adı, Yazar, Danışman, Konu, Anahtar Kelime, Özet or all), tez türü/year/language filters, İzinli/İzinsiz and Onaylandı/Hazırlanıyor status, anabilim dalı browsing and per-thesis details. Runs paired Turkish+English queries with stems that survive substring matching and emits Türkçe APA-7 citations mapping Tez No to Yayın No. Use when the user wants to search Turkish theses, ara YÖK tez, check thesis novelty before approving a proposal, find dissertations by advisor (danışman) or university, dedupe a topic against existing tezler, or cite a YÖK thesis. For Turkish journal articles use alterlab-dergipark or alterlab-trdizin. Part of the AlterLab Academic Skills suite.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.