analyze
Discover and document business rules, technical patterns, and system interfaces through iterative analysis
brainstorm
You MUST use this before any creative work — creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements, and design before implementation.
implement
Executes the implementation plan from a specification. Loops through plan phases, delegates tasks to specialists, updates phase status on completion. Supports resuming from partially-completed plans.
document
Generate and maintain documentation for code, APIs, and project components
debug
Systematically diagnose and resolve bugs through conversational investigation and root cause analysis
constitution
Create or update a project constitution with governance rules. Uses discovery-based approach to generate project-specific rules.
specify-requirements
Create and validate product requirements documents (PRD). Use when writing requirements, defining user stories, specifying acceptance criteria, analyzing user needs, or working on requirements.md files in .start/specs/. Includes validation checklist, iterative cycle pattern, and multi-angle review process.
specify-solution
Create and validate solution design documents (SDD). Use when designing architecture, defining interfaces, documenting technical decisions, analyzing system components, or working on solution.md files in .start/specs/. Includes validation checklist, consistency verification, and overlap detection.
review
Multi-agent code review with specialized perspectives (security, performance, patterns, simplification, tests)
specify-meta
Scaffold, status-check, and manage specification directories. Handles auto-incrementing IDs, README tracking, phase transitions, and decision logging in .start/specs/. Falls back to docs/specs/ for legacy specs. Used by both specify and implement workflows.
refactor
Refactor, simplify, or clean up code for improved maintainability without changing business logic
ml-rigor
Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
data-analysis
Patterns for data loading, exploration, and statistical analysis
experiment-design
Best practices for designing reproducible experiments
galaxy-docker
Maintain and upgrade the bgruening/docker-galaxy project: bump Galaxy/Ubuntu versions, update Ansible roles and scheduler support, adjust startup/CI/tests, and manage CVMFS.
code-review-excellence
|
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
local-diff-review
基于本地 git diff 的代码审查技能。用于在提交 PR 前先做自检评审，严格复用 pr-review 的三维度标准（代码质量标准、FastGPT 风格规范、常见问题清单），支持审查未暂存改动、已暂存改动、某次提交、或当前分支相对基线分支的全部改动。
frontend-design
Creates unique, production-grade frontend interfaces with exceptional design quality. Use when user asks to build web components, pages, materials, posters, or applications (e.g., websites, landing pages, dashboards, React components, HTML/CSS layouts, or styling/beautifying any web UI). Generates creative, polished code and UI designs that avoid mediocre AI aesthetics.
fastgpt-workflow-generator
Generates production-ready FastGPT workflow JSON from natural language requirements. Uses AI-powered semantic template matching from built-in workflows (document translation, sales training, resume screening, financial news). Performs three-layer validation (format, connections, logic completeness). Supports incremental modifications to add/remove/modify nodes. Activates when user asks to "create FastGPT workflow", "generate workflow JSON", "design FastGPT application", or mentions workflow automation, multi-agent systems, or FastGPT templates.
dry-refactoring
Guides systematic code refactoring following the DRY (Don't Repeat Yourself) principle. Use when user asks to eliminate code duplication, refactor repetitive code, apply DRY principle, or mentions code smells like copy-paste, magic numbers, or repeated logic. Implements a 4-step workflow from identifying repetition to verified refactoring.
planning-with-files
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.
deep-reading-analyst
Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical applications, or (7) apply specific thinking frameworks. Triggered by phrases like 'analyze this article,' 'help me understand,' 'deep dive into,' 'extract insights from,' 'use [framework name],' or when users provide URLs/long-form content for analysis.
daily-ai-news
Aggregates and summarizes the latest AI news from multiple sources including AI news websites and web search. Provides concise news briefs with direct links to original articles. Activates when user asks for 'today's AI news', 'AI updates', 'latest AI developments', or mentions wanting a 'daily AI briefing'.
create-skill-file
Guides Claude in creating well-structured SKILL.md files following best practices. Provides clear guidelines for naming, structure, and content organization to make skills easy to discover and execute.
prompt-optimize
Expert prompt engineering skill that transforms Claude into "Alpha-Prompt" - a master prompt engineer who collaboratively crafts high-quality prompts through flexible dialogue. Activates when user asks to "optimize prompt", "improve system instruction", "enhance AI instruction", or mentions prompt engineering tasks.
sp
Guide for sp.h, a single-header C standard library replacement. You must use this guide when using or discussing sp.h in any capacity.
sf-industry-commoncore-omniscript
>
sf-metadata
>
sf-lwc
>
sf-integration
>
sf-ai-agentforce-persona
>
sf-ai-agentforce-testing
>
sf-ai-agentforce
>
sf-ai-agentscript
>
sf-apex
>
sf-connected-apps
>
sf-industry-commoncore-flexcard
>
sf-industry-commoncore-integration-procedure
>
sf-diagram-nanobananapro
>
sf-diagram-mermaid
>
sf-deploy
>
sf-debug
>
sf-datacloud
>
sf-datacloud-segment
>
sf-datacloud-retrieve
>
sf-datacloud-prepare
>
sf-industry-commoncore-datamapper
>
sf-datacloud-harmonize
>
sf-datacloud-connect
>
Page 460 of 1737 · 86825 results
