发现 编程开发 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Addresses PR review comments for Sprout Rails project. Fetches PR comments via gh CLI, systematically addresses each comment, runs rubocop on changed files, and runs relevant tests to ensure nothing broke. Use...
Creates well-structured GitHub issues formatted for future Claude instances to work on. Use when the user asks to create a GitHub issue or wants to document a task/bug for later implementation.
Creates a high-level implementation plan file for issues from any tracker (Linear, GitHub, Jira) that another Claude Code instance can use as a guide. Use when the user asks to create an implementation plan fil...
Retrieve memory summaries by ID, project, or recency. Returns structured JSON with compression metrics. Use to access compressed historical context for LLM prompts.
Intelligent memory search with automatic method selection. Supports semantic (vector), keyword, and recent queries. Includes fallback strategies and optional summary inclusion.
Store and retrieve memories using the BrAIny REST API. Use this skill to persist facts, notes, and messages about the user or conversation. Automatically stores context when the context window is reaching its l...
Index codebases for semantic code search. Use this skill to make a project's source code searchable via vector similarity, enabling natural language queries like "how does authentication work" or "find the data...
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
Manage stories, plans, and tasks in the multi-model orchestrator. Use this skill to create feature requests, generate implementation plans, and execute tasks using different Claude models (Opus, Sonnet, Haiku).
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
Compress memories into structured summaries using low-cost AI models (Claude Haiku, GPT-4o-mini). Triggers when memory count exceeds 50 or token estimate exceeds 40000. Outputs structured JSON with compression...
Preserves session context when context window fills. Triggers at configurable thresholds (50%/75%). Captures objective, progress, technical details, decisions, blockers, and next steps.
ALWAYS invoke this skill BEFORE writing or modifying ANY Rust code (.rs files) even for simple Hello World programs. Enforces Microsoft-style Rust development discipline and requires consulting the appropriate...
Use when the user asks to save, export, or record the conversation transcript.
Convenciones y estándares para el desarrollo del motor de reglas en Python
Create, edit, and analyze Word documents with formatting, templates, and content generation (Official Anthropic skill)
Create, edit, and analyze PowerPoint presentations with AI-powered slide generation, template management, and content extraction (Official Anthropic skill)
Parse, analyze, and extract content from PDF documents with OCR, table detection, and text extraction (Official Anthropic skill)
African KYC/AML verification system supporting NIN, BVN, NIMC, passport validation for Nigeria, Cameroon, CEMAC region with real-time compliance scoring
Contract review and regulatory compliance for CEMAC/OHADA business law. Use when analyzing contracts, checking compliance, or answering legal questions about Central African regulations.
Real-time fraud detection using ML pattern analysis, velocity checks, device fingerprinting, behavioral biometrics for African fintech with XAF/NGN transaction monitoring
OHADA-compliant financial intelligence for Central African businesses. Use when handling accounting, invoices, taxes, or financial reports in XAF currency.
Create, edit, and analyze Excel spreadsheets with formulas, charts, pivot tables, and data analysis (Official Anthropic skill)
Use when writing CS research papers (conference, journal, thesis), reviewing scientific manuscripts, improving academic writing clarity, or preparing IEEE/ACM submissions. Invoke when user mentions paper, manus...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。