Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
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Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
Configure clang-format code formatting. Use when: user mentions clang-format or .clang-format, analyzing code style/patterns, creating/modifying formatting config, troubleshooting formatting, brace styles/indentation/spacing/alignment/pointer alignment, or codifying conventions.
Advanced computer use patterns for UI automation, application control, and multi-step workflows using Claude's computer use tool. Use when automating desktop tasks, testing applications, analyzing screen content, controlling software programmatically, or building computer vision workflows. Supports zoom tool for enhanced vision on Opus 4.5, multi-step automation, and sophisticated application control.
Validate or generate commit messages per the Conventional Commits specification. Use when: checking a commit message before pushing, generating a compliant message from a diff or change description, or integrating commit quality into a CI/CD workflow. Grounded in prompts/coding/standards/cicd/commit_standards.md.
Analyses code and produces a structured violation report against clean coding standards. Use when: auditing code before a refactoring task, reviewing a PR for clean coding compliance, or establishing a baseline before applying clean-code-refactor. Produces a violation report that clean-code-refactor and data-engineer Implement Mode can act on. Supports Python, JavaScript/TypeScript, C#, and Rust. Supports both general (Clean Code) and OB (BORO Quick Style Guide) convention sets via the `standard` parameter.
Generate and review tests following project testing standards. Use when: adding tests for a new or untested function/class, reviewing existing tests for quality compliance, or identifying untested paths in a module. Supports Python, JavaScript/TypeScript, C#, and Rust. Supports both general (Clean Code) and OB (BORO Quick Style Guide) convention sets via the `standard` parameter.
Clone important project dependency source code into an ignored local workspace so OpenCode can inspect library internals. Use when the user asks to clone dependencies, inspect dependency/source internals, understand SDK/framework behavior from source, debug library implementation details, or make core dependency repos locally readable. Do not use for ordinary API/docs questions where @librarian is enough.
A-share real-time quote lookup. Batch-fetch real-time quotes for securities on the Shanghai, Shenzhen and Beijing exchanges. Triggers when the user asks about "Moutai real-time price", "Shanghai and Shenzhen real-time quotes", "A-share quotes" or "current stock price".
Prevent trivial helpers, wrapper layers, rename-only utilities, duplicate constants, and local reinvention. Enforce reuse of platform primitives, framework capabilities, shared utilities, and proven libraries. Use when adding or reviewing helper sprawl, object-vs-positional parameter decisions, arrow-vs-declaration choices, class-vs-functional design, god-file boundaries, schema-file boundaries, security/maintainability hardening, or UI structure so the agent keeps code disciplined and avoids technical debt.
Review PRs, MRs, and Gerrit changes with focus on security, maintainability, and architectural fit. Leverages github, gitlab, or gerrit skills based on repository context. Use when asked to review my code, check this PR, review a pull request, look at a merge request, review a patchset, or provide code review feedback.
Structured code review workflow for .NET projects using Roslyn MCP tools. Multi-dimensional review covering correctness, security, performance, architecture compliance, and test coverage. Load when: "review PR", "review code", "code review", "PR review", "review changes", "review my code", "check code quality".
Structure a cohort analysis for retention, LTV, or behavioural patterns. Use when asked to run a cohort analysis, analyse retention by cohort, segment users by behaviour over time, or calculate lifetime value by acquisition period. Produces a complete cohort analysis framework with methodology, cohort definitions, retention curves, and prioritised interventions.
Use this skill when the user asks to "commit code", "commit", "push code", "push", "commit and push", "commit changes", "push to remote", "help me commit", or "push the code up". This skill provides a standardized git commit and push workflow that automatically analyzes changes, generates commit messages that follow conventions, and performs the corresponding operations. By default, Co-authored-by is not appended; the signature is written only when the user explicitly passes --enable-co-authored-by.
When setting up commit message validation for a project. When project has commitlint.config.js or .commitlintrc files. When configuring CI/CD to enforce commit format. When extracting commit rules for LLM prompt generation. When debugging commit message rejection errors.
Structured, multi-dimensional company investment research framework for AI agents and human analysts. Provides a 10-part checklist (moat, tech, market, customers, growth, financials, geography, governance, valuation, recommendation) to turn scattered info into a consistent, high-quality investment memo. | 面向 AI Agent 与人工分析师的公司投研框架，用 10 大维度系统梳理商业模式、护城河、成长与估值，快速产出结构化投研报告。
Conduct systematic, in-depth research and analysis of listed companies on the A-share, Hong Kong, and US markets, and produce structured research reports. Triggered when the user gives a company name and asks for analysis, research, valuation, revenue breakdown, profit forecasting, or moat assessment. This includes but is not limited to: "help me research company XX", "analyze XX's business", "what valuation is XX worth", "how will XX's revenue break down over the next two years", "take a look at XX's competitive advantages". Whenever deep analysis of a specific listed company is involved (rather than simply checking the share price), this skill should be used.
Analyzes how competitors position themselves and distills messaging gaps, overlaps, and differentiation opportunities. Use when the user asks to compare messaging, review competitor websites, identify positioning gaps, rewrite messaging against competitors, or sharpen a category narrative.
Plan, conduct, and synthesize high-signal user interviews and produce a User Interview Pack (recruiting plan, screener, discussion guide, notes template, synthesis report). Use for user interview, customer interview, discovery interview, JTBD switch interview, concept interview.
Rates confidence that the current work fully solves the stated requirement. Supports plan validation, code review, and analysis (root-cause, refactor, diagnose) modes. Plan mode combines LLM judgment with deterministic rule checks (multi-signal gate); a failed rule caps the gate at 89% regardless of LLM score. Use before committing to autonomous execution, after implementation, or during investigation. Triggers on "confidence check", "validate plan", "rate confidence", "quality gate", "/confidence".
Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate analysis, or says things like "what would different experts think about this", "help me think through this from all sides", "council mode", "mind council", or "deliberate on this". Also trigger when the user faces a dilemma, trade-off, or complex choice with no obvious answer.
Build a content marketing program by producing a Content Marketing Plan Pack (content market fit brief, demand-validated SEO topic map, human voice + primary channel strategy, editorial calendar, content briefs, AI-assisted writing SOP, measurement plan). Use for content marketing, content strategy, blog, SEO, thought leadership, founder-led content.
CPRA §1798.121 sensitive personal information restrictions and compliance. Covers all 9 sensitive PI categories including SSN, precise geolocation, racial/ethnic origin, biometric, genetic, health, and sex life data. Right to limit use/disclosure, permitted purposes, and implementation.
Create exactly one originating GitHub issue from a local specification, preserving its retrievable source identity and handing off to plan-acceptance. Use when a disk-based spec needs one source or parent issue; not for splitting work into multiple tickets.
Drop-in crypto subscription paywall for creator products (not fiat/Stripe). EVM wallet login (SIWE) + on-chain payment verification. Users sign in with their wallet, pay a monthly/yearly subscription by transferring tokens (ETH/Base/BSC, any ERC20 incl. custom tokens) to the creator's Starchild agent wallet, and get gated access — verified on-chain with no payment processor or third-party account. Use when a creator wants to add "sign up → pay → use" monetization to something they built (e.g. "add a paywall", "let users pay to subscribe", "gate my app behind a crypto payment", "收款", "订阅付费", "wallet login + subscription"). Not for fiat/Stripe, not for pay-per-use metering.
Harmonises data classification across jurisdictions mapping GDPR special categories vs CCPA sensitive PI (1798.140(ae)) vs HIPAA PHI (160.103) vs LGPD sensitive data (Art. 5-II). Provides cross-regulation mapping matrix for multinational compliance. Keywords: cross-jurisdiction, GDPR, CCPA, HIPAA, LGPD, sensitive data, multinational, classification mapping.
Use this skill when requesting or consuming an independent review from another model, including code, specifications, diagnoses, and factual claims. Activates on mentions of cross-model review, second opinion, independent review, different model review, confer with Codex, fact-check this doc, or check my conclusion. Use hyper-pr-review when conducting the review yourself.
Design and audit customer community event programs covering audience, purpose, event formats, advisory sessions, workshops, office hours, webinars, champions, local meetups, moderation, accessibility, localization, content reuse, follow-up, product feedback, pipeline influence, community health, and trust. Use when events should create learning and loyalty instead of vanity attendance.
Use this skill to build, implement, and test Vizro dashboards (Phase 2). Activate when the user wants to create a working app, says "just build it", or has data ready for implementation. Requires spec files from the dashboard-design skill (Phase 1), or user confirmation to skip design.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
Guides systematic mapping of international personal data flows across an organisation. Covers system-by-system inventory methodology, third-party identification, transfer mechanism assignment, gap analysis, and data flow visualisation. Keywords: data flow mapping, international transfers, data inventory, transfer register, cross-border data flows.
Implements data lineage tracking for privacy compliance including origin tracking, transformation logging, access auditing, deletion verification, and cross-system lineage graphs. Covers source-to-sink mapping, GDPR Art. 30 RoPA integration, automated lineage discovery, and breach impact scoping. Keywords: data lineage, data provenance, data flow mapping, transformation logging, deletion verification.
PostgreSQL database specialist for query optimization, schema design, security, and performance. Use PROACTIVELY when writing SQL, creating migrations, designing schemas, or troubleshooting database performance. Incorporates Supabase best practices.
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
Research-aligned self-consistency for debugging. Spawns independent solver agents that each explore and debug the problem from scratch. Uses majority voting. Based on "Self-Consistency Improves Chain of Thought Reasoning" (Wang et al., 2022). Use for critical bugs, algorithms, or when other approaches have failed.
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.