Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Turn a rough ambition for an app, project, or large idea into one agreed, resumable charter.md that later work is judged against, optionally published as one GitHub umbrella issue. Use when a whole project needs its purpose, scope, success, and open questions settled before tickets or plans
Prepare management meeting materials and question lists for A-share investment due diligence. Adapted from the original dd-meeting-prep skill for Chinese business culture and management meeting conventions. Triggers on "A股尽调会议准备", "管理层会议准备", "management meeting China", "DD meeting prep", "管理層访谈准备", or "prepare for management meeting [company]".
Quality check investment banking pitch decks for A-share M&A and capital raising transactions. Adapts the original ib-check-deck skill for Chinese market standards, CAS financials, and domestic IB conventions. Triggers on "投行deck检查", "IB deck QC", "check pitch deck China", "deck quality check", "材料质量检查", or "review deck [company/transaction]".
Create PowerPoint templates for A-share investment presentations. Adapts the original ppt-template-creator skill for Chinese business presentation standards and firm branding. Triggers on "A股PPT模板", "投资PPT模板", "create ppt template China", "presentation template", "制作PPT模板", or "build template for [purpose]".
Generic PowerPoint authoring skill for A-share investment analysis and pitch decks. Creates professional 路演PPT / 投资分析PPT for any A-share company using live data from iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback) tools. All company-specific values are parameterized — never hardcoded. Triggers on "A股PPT制作", "投资PPT", "制作PPT", "路演PPT", "pitch deck", "PowerPoint [company/ticker]", or any request to create slides for a Chinese stock. When invoked, use the `generate_a_share_ppt` script with --company and --ticker args.
Roll forward A-share financial models for new periods. Adapts the original roll-forward skill for Chinese financial statements, CAS conventions, and A-share reporting calendars. Triggers on "A股模型滚动", "模型更新", "roll forward model China", "roll forward", "更新财务模型", or "project [company] [period]".
Create new China-specific financial skills following the established patterns and conventions. Use this meta-skill to scaffold new china-* skills that integrate with iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback), follow CAS accounting standards, and adapt workflows for the Chinese market. Triggers on "创建中国skill", "新建A股skill", "create china skill", "new china-skill", "制作skill", or when creating any new china-* skill.
Create one-page company profile slides (strip profiles) for A-share targets in pitch books and deal materials. Adapted from the original strip-profile skill for Chinese companies, A-share market data, and Chinese business terminology. Triggers on "A股公司简介", "公司概况", "strip profile China", "one-pager A-share", or "target profile for [company]".
Unit economics analysis for China-focused portfolio companies. Adapted from the original unit-economics skill for Chinese business models, pricing, and market dynamics. Triggers on "A股单位经济模型", "单元经济模型", "unit economics China", "unit economics [company]", "LTV/CAC China", or "Cohort analysis [company]".
Write variance commentary for A-share financial results. Adapts the original variance-commentary skill for Chinese financial statements, CAS conventions, and Chinese business terminology. Triggers on "A股业绩点评", "财报点评", "variance commentary China", "业绩分析", "variances [company]", or "commentary on [company] results".
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.
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.
This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable. Trigger on "clarify requirements", "refine requirements", "요구사항 명확히", "요구사항 정리", "뭘 원하는 건지", "make this clearer", "spec this out", "scope this", "/clarify". Turns vague inputs into concrete specs. For strategy blind spots use unknown; for content-vs-form reframing use metamedium.
Hard discipline for clarifying with the user: one question per turn until shared understanding; walk the decision tree by dependencies; recommend an answer; look up facts, ask only decisions; explore context before asking; do not act until the user confirms clarity (or skips). Referenced by PDCA and perf hosts via frontmatter dependencies. Triggers — 「一次一问」「多轮问清」「澄清提问纪律」「推荐答案提问」「决策树追问」 / clarifying question discipline, decision-tree grilling.
Query and display in Chinese the number of Codex resets, the remaining time for each reset, expiry times, and reminder times 1 day and 1 hour before expiry. Use when the user asks how many Codex reset credits, reset次数, rate-limit reset credits, credits expiry times, reminder times, or how long each Codex reset credit has before expiration.
Run registered ComfyUI workflows through the fast comfyui-skill CLI, and use the official local Comfy MCP for live template, node, model, validation, and orchestration capabilities. **Use this Skill when:** (1) The user requests to "generate an image", "draw a picture", or "execute a ComfyUI workflow". (2) The user has specific stylistic, character, or scene requirements for image generation. (3) The user asks you to import, register, sync, or configure saved ComfyUI workflows for later reuse.
Use this skill to create, update, or modify debug configurations for Renesas projects and Renesas devices in VS Code launch.json files. Proactively activate this skill when users: - Mention hardware debug, launch.json, or debug configuration - Ask to create, modify, or fix a hardware debug configuration setup - Refer to specific debuggers such as J-Link, E1, E2, E2LITE, E20, EZ, IECUBE, COMPORT, or Simulator - Request changes to target settings, hotplug, or server parameters This skill supports the following Renesas device families: Dialog, RA, RCAR, RH850, RL78, RX, RISCV, and RZ devices as well as the Simulator, Segger J-Link (SEGGERJLINKARM, SEGGERJLINKRX, SEGGERJLINKRISCV) and Renesas Emulators (E1, E2, E20, E2LITE, EZ, IECUBE, COMPORT).
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devil's Advocate concession-threshold guard that blocks acceptance on unresolved critical findings. Maintains a worklog and snapshots each iteration so revert is real, not symbolic. TRIGGER when the orchestrator delegates Step 5 or when the user asks to "refine the draft", "iterate on the paper", or "run peer review on this paper".
Install and verify the Contentsquare tracking tag in any web project. Use when asked to "add Contentsquare", "install CS tag", "set up Contentsquare analytics", or configure Contentsquare tracking for a web application. Verification runs through `npx @contentsquare/wizard verify`, which drives an embedded Playwright browser — no browser automation MCP required.
Token-hygiene audit of the always-loaded context stack — CLAUDE.md, AGENTS.md, auto-memory MEMORY.md, and the bootstrap-rendered identity files (SOUL.md, USER.md, ACCESS_POLICY.md, HEARTBEAT.md) or their harness equivalents. Finds redundancy, contradictions, stale content, compression candidates, and skill-extraction candidates; produces a ranked action list sorted by token savings with a risk class per finding. REPORT-ONLY: this skill never edits any audited file. Recommendations for bootstrap-rendered files target the interview answer bank / templates, never the rendered output. Judging routes through `gbrain eval cross-modal` (single cheap model by default; full multi-model panel is explicit opt-in).
Integrate the Cartridge Controller wallet into Starknet applications. Use when setting up Controller for the first time, installing packages, configuring chains/RPC endpoints, or troubleshooting basic integration issues. Covers installation, Controller instantiation, choosing between ControllerConnector and SessionConnector, chain configuration, and package compatibility.
World-class copywriting expertise combining the persuasive clarity of David Ogilvy, the conversational warmth of Ann Handley, and the conversion science of modern growth marketers. Copywriting is where brand voice becomes words that move people. Great copy doesn't just communicate—it persuades, connects, and converts. The best copywriters understand that every word earns its place, that benefits beat features, that clarity trumps cleverness, and that the reader's problem is the only starting point that matters. Use when "copywriting, write copy, headlines, taglines, email copy, ad copy, landing page copy, product copy, UX writing, CTAs, value proposition, microcopy, sales copy, conversion copy, writing, copy, headlines, conversion, persuasion, messaging, UX-writing, emails" mentioned.
Orchestrates debates among multiple advisors on high-impact architecture, technology, or product decisions. Dispatches 3–5 domain-archetype subagents (pragmatic-engineer, architect-advisor, security-advocate, product-mind, devils-advocate, the-thinker) through opening statements, tensions, position evolution, and synthesis phases. Preserves dissent and delivers actionable recommendations with documented risks. Use when evaluating trade-offs, stress-testing a PRD or tech spec, resolving dilemmas with multiple viable options, or when a decision needs diverse expert perspectives. Don’t use for simple yes/no questions, factual lookups, creative brainstorming without trade-offs, or tasks where one expert perspective is enough.
Create new agents for the code-forge application. Agents are stored as .md files in the <cwd>/.forge/agents directory with YAML frontmatter (id, title, description, reasoning, tools, user_prompt) and markdown body containing agent instructions. Use when users need to add new agents, modify existing agents, or understand the agent file structure.
Create a short-form vertical video (TikTok, Instagram Reels, YouTube Shorts). Optimized 9:16 pipeline with a live Studio preview, auto-captions, hook-first structure, and background music mood selection; renders to MP4 only when you ask
This skill should be used when the user asks to “test for XSS vulnerabilities”, “perform cross-site scripting attacks”, “identify HTML injection flaws”, “exploit client-side injection vulnerabilities”, “steal cookies via XSS”, or “bypass content security policies”. It provides comprehensive techniques for detecting, exploiting, and understanding XSS and HTML injection attack vectors in web applications
Guide development of the ai-dev framework and its first-party skill collection. Use when modifying ai-dev CLI code, npx skill integration, copy/distribution logic, commands, agents, plugins, first-party skills, tests, or release documentation. Applies to requests written in English or Chinese.
Review the ECC (everything-claude-code) distribution list, with two modes: (A) slimming an existing list: analyze the overlap and quality between distribution.yaml.enabled and the first-party ai-dev-skills, and output enabled_remove suggestions; (B) evaluating new item adoption: based on ecc-catalog.yaml and the scope of the last update, introduce newly added upstream ECC skills, analyze applicable scenarios, and suggest whether to add to enabled. Use when: (1) evaluating whether the ECC distribution list should be slimmed down, (2) deciding whether to adopt a skill newly added upstream in ECC, (3) generating an ecc-profile.yaml starter for end users, (4) conducting a quarterly / semi-annual periodic review. Applies when these needs are raised in Chinese or English.
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.
Parallel/distributed computing for larger-than-RAM data. Components: DataFrames (parallel pandas), Arrays (parallel NumPy), Bags, Futures, Schedulers. Scales laptop to HPC cluster. For single-machine speed use polars; for out-of-core without cluster use vaex.
Expert guidance on building Swift database client libraries. Use when developers mention: (1) building a database driver, (2) wire protocol implementation, (3) connection pooling design, (4) state machines for protocol handling, (5) NIO channel handlers for databases, (6) backpressure in result streaming, (7) actor executor alignment with NIO.
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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.