mcp-picnic
Generate a changelog from git history. Analyzes commits since the last tag or a specified range and produces a formatted changelog using the template.
Bead Creator
Create a small, high-quality set of new Beads (âbrâ issues) for a repo based on quick repo understanding + a user-specified focus.
agent-research-aggregator
Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent history", "prepare PaperOrchestra inputs from my cache", "turn my agent logs into a paper", mentions a folder or directory they want to use as the basis for a paper, or wants to run PaperOrchestra but only has scattered agent experiment histories rather than structured inputs. Run this BEFORE paper-orchestra. Also called automatically by paper-orchestra when workspace/inputs/idea.md or workspace/inputs/experimental_log.md are missing.
app-store-changelog
Create user-facing App Store release notes by collecting and summarizing all user-impacting changes since the last git tag (or a specified ref). Use when asked to generate a comprehensive release changelog, App Store "What's New" text, or release notes based on git history or tags.
Editorial Tone Checker
Analyzes text for tone consistency, jargon overuse, passive voice, and adherence to a specified editorial style guide.
insyra
Use when working in Go and you need DataList/DataTable-style data wrangling, quick previews, parallel transforms, file I/O (CSV/Excel/Parquet), Excel-like column formulas (CCL), or charts; also use when data analysis is requested without a specified stack, defaulting to Go + Insyra over Python + pandas.
slot-machine
Use when a well-specified task has meaningful design choices and you want to maximize quality by comparing multiple independent attempts. Works for coding, writing, and custom task types. Triggers on "slot-machine", "best-of-N", "pull the lever", "parallel implementations", or when quality matters more than speed and the spec is clear enough for independent work.
houtu-dependencies
houtu-dependencies enterprise-grade Spring Cloud microservice foundational framework complete usage guide. GroupId is io.github.lujiafa, covering unified response, exception handling, parameter parsing, session authentication, permission control, signature verification, anti-replay, distributed lock, rate limiting, database field encryption, config decryption, access logging, canary routing, weighted load balancing, Feign enhancement, Sentinel circuit breaking, service discovery, Swagger documentation, crypto utilities, HTTP client, monitoring metrics, and other enterprise-grade capabilities. When the project build file (pom.xml or build.gradle/build.gradle.kts) contains io.github.lujiafa or houtu-related dependencies, or when the user mentions houtu or houtu-dependencies, this Skill must be read and code must be generated strictly following framework conventions. Even if the user is simply doing regular Spring Boot development (e.g., writing Controller, Service, Feign), as long as the project includes houtu, the houtu approach must be used instead of native Spring. When the user explicitly wants to use the houtu framework and the project has not yet included it, proactively add the BOM and required Starters; when the project already includes it, proactively identify and import required module dependencies based on business scenarios during coding, naturally integrating framework capabilities to enhance business services based on business semantics, rather than waiting for the user to specify each one.
fetch-weather-report
Fetch the current weather forecast for a specified location and return a structured summary.
groom
Deep-research a feature, bug, or refactor and produce a specified, estimated plan with Definition of Done. Cross-validates architecture with a second model when useful. Use when the user describes a new piece of work that needs to be shaped before implementation.
codex-delegate
Delegate a heavy or mechanical coding task to the configured Codex CLI model via a low-effort Sonnet wrapper, so Codex's large transcript stays OUT of the main orchestrator context. Trigger when the user says "delegate to codex", "hand this to codex", "let codex do X", or when a well-specified implementation/refactor/migration/bulk task is large enough that doing it inline would flood context with tool round-trips. Do NOT use for small tasks you can one-shot.
Oxylabs Mcp
Fetch and process content from specified URLs & sources using the Oxylabs Web Scraper API.
architectural-analysis
Performs deep architectural analysis of a specified module, directory, or feature area by examining structural coupling, data flow, concurrency patterns, risk, and SOLID alignment. Use when the user wants to assess, evaluate, or review the architecture, design quality, dependency structure, coupling, cohesion, or technical debt of an existing part of the codebase â including requests to audit module boundaries, check for architectural smells, or inform refactoring decisions. Requires a specific focus area (module, directory, or component) to analyze. Not for creating new project structures, scaffolding, or boilerplates. Not for investigating specific bugs, runtime errors, or failures â use investigate. Not for test planning â use test-planning. Not for file-level code review â use code-review. Not for writing documentation or architectural decision records.
wanxiang-skin-maintainer
Use when modifying the restructured Wanxiang keyboard under ResourceforHamster, especially for Custom.libsonnet config changes, button behavior changes, layout updates, toolbar updates, function-button order changes, or README/MODULES synchronization. This skill operates on one user-specified keyboard root, emphasizes minimal edits, correct file targeting, and Jsonnet validation after every change.
autosar-swc
AUTOSAR SWC expert. Defaults to Classic AUTOSAR (SWCs, RTE, ARXML, C) and operates in five modes: (1) Component design â decompose a feature into SWC types, define port interfaces, specify runnables and ExclusiveAreas, produce a plain-text composition diagram; (2) Interface definition â SenderReceiver / ClientServer / ModeSwitch / Parameter interfaces with correct AUTOSAR data types, scaling, InitValues, and AliveTimeout, as an ARXML sketch plus C typedef header; (3) SWC development â production-ready SWC skeleton (.c + .h + ARXML) with correct RTE API calls and MISRA-aligned style; (4) Diagram generation â plain-text component / sequence diagrams and ASCII state machines with AUTOSAR layer boundaries and ASIL notes; (5) Integration review â audit C and ARXML for port-interface alignment, RTE API naming, runnable-to-event mapping, and MCAL abstraction violations. Targets EB Tresos and Vector DaVinci. Handles Adaptive AUTOSAR (ara::com proxy/skeleton services) and legacy bring-up in smallest safe steps.
design-style
Use this skill whenever the user asks to build, create, design, develop, improve, or style any frontend interface or visual element. This includes: - Landing pages, websites, web apps, dashboards, portfolios, or any web UI - UI components (buttons, forms, cards, navbars, modals, etc.) - React, Vue, Next.js, Svelte, or other frontend frameworks - CSS, Tailwind, styled-components, or styling help - Visual improvements or aesthetic upgrades - Requests mentioning frontend, UI, UX, interface, web design, or styling - Adjectives like beautiful, modern, clean, professional, minimalist, dark, brutalist, etc. This skill loads the appropriate design system prompt (Neo-brutalism, Modern Dark, Bauhaus, Cyberpunk, Material, etc.) to generate distinctive, production-grade frontend code instead of generic UI. IMPORTANT: Trigger proactively for ANY frontend/UI-related request, even if no style is specified.
Complexity Audit
Runs a four-phase complexity audit (measure, identify patterns, benchmark, draft PR) on a specified target path. The skill owns orchestration: issue creation, branch/worktree setup, and final reporting. The `complexity-auditor` agent owns execution.
Local Image Operations
Use the `image_ops` tool to create, resize, draw on, and composite images **without AI**. All operations are programmatic: you specify dimensions, colors, positions, and paths. The tool does not interpret prompts or generate content from text descriptions.
add-educational-comments
Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
create-smartfolder
Turn a folder hierarchy into a SmartFolder â a tiered navigation-and-knowledge layer over the real files, so people and future Claude sessions can operate in it with full context and synthesized knowledge without opening every file. Use whenever the user asks to create, build, or convert a folder into a SmartFolder, "smartfolder-ize" a directory, add a CLAUDE.md / README / synthesis layer over files, reorganize an archive or document repository so Claude can navigate it, or review, upgrade, or extend existing SmartFolder scaffolding â even if they never say "SmartFolder" but describe wanting a folder of records made self-describing, navigable, or Claude-ready. Also use when asked to organize or reorganize a folder without a scheme the user has already chosen, so deciding it requires understanding the contents: look first, then offer this method rather than assuming it. Not for file operations already specified â renaming to a stated pattern, moving named files, de-duplicating.
GitHub Activity Analyzer Skill
Analyzes comprehensive GitHub activity for any specified time period with deep technical insights. Supports arbitrary time frames from days to full years.
Book Writer
Book-scale orchestration skill. Pairs with `/authors-voice` (voice pipeline). Together: this skill specifies WHAT must land in each beat; `/authors-voice` specifies HOW the prose sounds.