Skills
99,448 packaged capabilities and playbooks for agents. Install any of them with one command.
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An industrial-scale scriptwriting super-system for hit short dramas on Douyin/Hongguo v4.9.1. A pure script engine (public, general-purpose edition for all genres; no production handoff). Core features: dynamically mounted matrix on demand (8 interaction modes, mounting only core files to prevent Context overload); emotional contract unit-chain round-trip method; full map of 40 genre tracks (12 male-oriented/14 female-oriented/14 neutral); six archetypal hook library (including irreversible deprivation of the core trump card) plus five cliffhanger formulas; rotation matrix for nine A~I reversal techniques plus layered hot/cold ledger; three length tiers (standard: 90~120 seconds/480~850 main-text characters; long: flexible 150~195 seconds/820~1400 characters; manhua drama: 60~90 seconds/330~620 characters); four-beat pacing chart for 15-second episode shifts (hook and establish stakes -> direct confrontation -> reveal and reverse -> aftermath hook); three visual anchors for strong imagery (insert a strong visual △ every 2~4 sentences; E24 blocks dry-talk gaps/E26 blocks ineffective micro-actions); rules for plain language delivered directly in the same beat and fast/slow pacing (state evidence and conclusion together/translate setting terms into plain language in the same sentence; E25 blocks cryptic jargon); three-layer, similarity-not-imitation adaptation method (strip surface and banned terms -> extract dramatic formula -> reskin across dimensions); duration conversion anchors (write at target 4.5 characters/s and validate at 4.5 characters/s minimum to prevent inflated runtime claims); production-side check of <=95 characters per 15-second window; soft constraint of <=40 characters per action paragraph; golden dialogue/action ratio of 25%~70%; first three episode beat cards; four paywall variants; cross-episode continuity ledger; web-fiction adaptation pipeline; character bible; dramatic craft layer; controlled monologue and narration rules; expression phrase format (visual word | tone word); review and repair issue cards; protective counterexample set; 11 compliance red lines under NRTA Order No. 16; tiered script machine checks (E1~E26) plus full-series ledger checks (S1~S8). Triggers: writing short dramas or outlines, project proposals, fixing pacing, episode breakdowns, long-form episodes, script doctoring, polishing, inner monologue, narration, voiceover, ultra-fast short dramas, compliance review, or consecutive writing.
Runs a signal-research pass over an EXISTING firmographic account base (CSV, Google Sheet, Notion DB, CRM export) for a B2B service agency: decides which signals to hunt for this ICP, detects them account-by-account from cheapest source upward, records evidence URL + date for every hit, scores and heat-tiers the accounts, flags expired signals for re-scan, and returns an enriched list plus a coverage report that says which sources actually produced signals. Use when the user says: "знайди сигнали по базі", "прогони базу на сигнали", "ресерч сигналів", "signal research", "у нас є список компаній — хто зараз гарячий", "перескануй базу, сигнали вигоріли", "which accounts have a live trigger right now", "enrich this list with signals", or hands over a company list and asks who to contact first. Requires a base — this skill does NOT build the list (data-research, niche-data-finder) and does NOT invent the signal library (that lives in `resources/signals-catalog.md`). It also does not write outreach copy.
Verify exact SillyTavern, Tavern Helper / JS-Slash-Runner, STScript, macro, prompt-injection, worldbook, EJS, MVU, and runtime-library capabilities before implementing or reviewing rolecard automation. Use when a task depends on a function signature, event payload, slash-command grammar, variable scope, message-floor operation, generation option, runtime-symbol provider, Git/CDN loader, or version-sensitive extension capability.
A process-based discrete-event simulation framework. Use for modeling queuing systems, supply chains, manufacturing processes, network simulation, project management, and any system where events occur at specific points in time. Load when working with discrete event simulation, process modeling, resource allocation, virtual time, simpy.Environment, simpy.Resource, or event-driven simulation.
Use this skill when creating new Claude Code skills from scratch, editing existing skills to improve their descriptions or structure, or converting Claude Code sub-agents to skills. This includes designing skill workflows, writing SKILL.md files, organizing supporting files with intention-revealing names, and leveraging CLI tools and Node.js scripting.
Improve skills and workflows by analyzing run artifacts and execution logs (events.jsonl/state.json) under runs/ (or OpenSpec changes/). Use when you want to iterate on skills based on real runs: find failure modes, bottlenecks, unclear prompts, missing I/O contracts, and propose concrete edits.
Audit an Agent Skill (or a repo/plugin of skills) for safety before installing or trusting it. Use whenever the user wants to vet, review, audit, or check whether a skill, plugin, or its scripts are safe, asks "is this skill safe to install", pastes a skill repo/URL to evaluate, or is about to install a third-party skill from GitHub, npx skills, or a plugin marketplace. Runs static analysis only (never executes the target) and reports network egress, process execution, secret access, dynamic code, filesystem writes, obfuscation, npm install-time scripts, MCP server declarations, symlinks leaving the skill tree, shipped binaries, recorded agent transcripts carrying opaque reasoning blocks, and prompt-injection instructions hidden in SKILL.md, tiered by whether the code runs automatically, on invocation, or on demand.
Audit the skill inventory for quality, coverage, and staleness. Detect overlapping, incomplete, or outdated skills and produce a health report. Activate when: skill audit, stocktake, skill inventory, check skills, which skills exist, audit skills, skill quality, skill coverage.
Use this skill when the user asks to test, validate, regression-check, or safely repair an existing Codex/agent skill's trigger, workflow, resources, or evaluation coverage. Do not use it to create a new skill, QA an application, or run open-ended skill optimization.
Validates all CI skills in this repo. Checks Agent Skills spec compliance, gh-aw workflow compilation, permission correctness, and structural conventions. Use when CI skills have been added or modified and you want to verify they compile and conform before committing.
Search, find, discover, install, remove, update, review, deduplicate, list, move, optimise, and iterate on skills for AI coding agents. Use when user asks "find a skill for X", "install skill", "remove skill", "update skills", "list skills", "deduplicate skills", "why are two skills shown", "choose the canonical skill", "check for skill conflicts", "review skill quality", "move skill", "check for updates", "optimise skill", "audit skill edits", "trigger test skill", or "transfer skill across agents". Includes duplicate-free installation preflight and SkillOpt-style training loops. Do not use for creating skills from scratch (use /skill-creator instead).
Simultaneous Launch Button - Two-person rule for destructive commands in multi-agent workflows. Risk-tiered classification, command hash binding, 5 execution gates, client-side execution with environment inheritance. Go CLI.
Prepare cohesive image prompts for presentation slides by combining a chosen theme with concise factual team and technology references. Use when the user asks to prepare image prompts or backgrounds for presentation slides. Russian discovery terms: промпты слайдов, фоновые изображения, тема презентации, графика для слайдов.
AI-powered git commit message generation. Uses LLM to summarize changes and create meaningful commit messages. Triggers when user wants to commit changes, amend/squash commits, or needs LLM to summarize changes for commit messages. Chinese triggers: 提交, 提交代码, 提交更改, 提交修改, 要提交, commit, 提交信息, git 提交, 生成提交信息.
Search and monitor social media using X/Twitter (via Grok) and Reddit APIs. USE FOR: - Searching X/Twitter posts by keywords or hashtags - Finding X/Twitter users by criteria - Getting a user's recent posts - Searching Reddit posts and discussions - Getting comments from Reddit threads - Social media monitoring and research TRIGGERS: - "twitter", "X", "tweets", "posts on X" - "reddit", "subreddit", "reddit discussion" - "what are people saying", "social media", "sentiment" - "trending", "viral", "popular posts" - "user's posts", "timeline", "recent activity" Use x402.fetch for Grok (X) and Reddit endpoints. All endpoints are $0.02 per call. IMPORTANT: Never guess endpoint paths. All paths follow the pattern https://enrichx402.com/api/{provider}/{action}. Use exact URLs from the Quick Reference table below or call x402.discover_api_endpoints first.
Multi-slide carousel design for Instagram, LinkedIn, and Twitter/X with layout rules and hooks. Covers slide structure, text hierarchy, swipe psychology, and platform-specific specs. Use for: carousel posts, Instagram carousels, LinkedIn carousels, slide posts, educational content. Triggers: carousel, instagram carousel, linkedin carousel, slide post, carousel design, swipe post, multi-image post, carousel template, educational carousel, carousel content, instagram slides, linkedin slides
Use when writing SpacetimeDB C# or Unity clients, generated C# bindings, connection setup, subscriptions, cache access, reducer invocation, callbacks, or identity handling. Triggers on: C#, CSharp, Unity, C# SDK, generated C# bindings, Unity SDK, C# subscription, C# reducer call.
Transcribe audio to text with ElevenLabs Scribe and Whisper models via inference.sh CLI. Models: ElevenLabs Scribe v2 (98%+ accuracy, diarization), Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps, speaker diarization, audio event tagging. Use for: meeting transcription, subtitles, podcast transcripts, voice notes. Triggers: speech to text, transcription, whisper, audio to text, transcribe audio, voice to text, stt, automatic transcription, subtitles generation, transcribe meeting, audio transcription, whisper ai, elevenlabs stt, scribe, eleven labs transcribe
Diagnoses and optimizes SQL Server database performance. Use when diagnosing slow T-SQL queries, tuning indexes, reading execution plans, fixing parameter sniffing, optimizing batch operations, reducing transaction log bloat, troubleshooting locking and blocking, configuring tempdb, or when a query that used to be fast is now slow. Also use when writing high-throughput INSERT/UPDATE/DELETE operations, implementing minimal logging, designing covering indexes, or analyzing wait statistics.
Review startup products, landing pages, funnels, pricing, onboarding, messaging, and go-to-market plans for practical growth leverage. Use when the user asks for growth ideas, conversion review, positioning critique, launch planning, acquisition channels, activation/retention improvements, or a high-agency startup growth audit.
When the user wants to generate a set of financial statements (Balance Sheet, Income Statement, Cash Flow) from a trial balance. Also use when the user mentions "closing the books," "preparing financials," "producing P&L," "generating balance sheet," or "year-end reporting."
Use this skill when a UI/UX project should use Google Stitch or a Stitch MCP/API workflow for rapid AI UI exploration after `ui-ux-pro-max` has produced design intelligence and before Figma/code implementation. This skill turns UX, SEO/LLM, brand, accessibility, and Pro Max constraints into Stitch-ready prompts, evaluates Stitch outputs, prepares Figma/code handoff, checks Stitch API/MCP configuration without exposing secrets, and prevents Stitch from becoming a conflicting source of truth.
When the user wants to model inventory systems with uncertain demand, optimize safety stock levels, implement (s,S) or (Q,r) policies, or analyze service levels under uncertainty. Also use when the user mentions "stochastic inventory," "probabilistic inventory," "(Q,r) policy," "(s,S) policy," "base stock policy," "safety stock optimization," "service level constraints," "lead time demand distribution," "fill rate calculation," or "inventory with demand uncertainty." For deterministic models, see economic-order-quantity or lot-sizing-problems. For single-period uncertainty, see newsvendor-problem.
When the user wants to optimize under uncertainty, handle probabilistic constraints, or solve stochastic programming problems. Also use when the user mentions "stochastic optimization," "chance constraints," "two-stage stochastic programming," "scenario-based optimization," "robust optimization under uncertainty," "stochastic demand," "uncertainty modeling," or "probabilistic optimization." For deterministic optimization, see optimization-modeling. For robust optimization, see metaheuristic-optimization.
Optimize store listings for App Store, Google Play, Steam, Microsoft Store, browser extensions, and direct-download products across title, subtitle, short description, screenshots, trailers, capsule art, keywords/tags, reviews, localization, pricing, privacy claims, and conversion measurement. Use when improving channel pages before launch or after weak store conversion.
Generate and validate JSON-LD structured data, supporting Schema.org types such as Article, BlogPosting, Organization, WebPage, Product, and LocalBusiness. Automatically detects page type, validates syntax, checks required fields, and provides a link to the Google Rich Results test tool and Next.js component code examples.
Design and audit subscription and entitlement systems for SaaS, mobile apps, games, desktop utilities, and marketplaces across plans, trials, renewals, grace periods, downgrades, upgrades, restore purchases, refunds, revocations, usage limits, ledger events, and support tooling. Use when pricing, billing, access, or account state must stay consistent after payment changes.
Plan and run a dependency-ordered software change through sequential, one-shot Pi workers with bounded retries and explicit dependency handoffs. Use for authorized multi-step implementation work that benefits from isolated worker contexts; avoid it for planning-only requests or small changes that one worker can complete directly.
Database operations for Supabase: query/write/migration/logs/type generation. Triggers: query/statistics/export/insert/update/delete/fix/backfill/migrate/logs/alerts/type generation. Does not trigger for: pure architecture discussion or code planning. Write operations require confirmation; UPDATE/DELETE without WHERE is refused. MCP is optional — works with CLI/Console too.
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.