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Implement features using Spec Driven Development (SDD) workflow. Creates design and task documents with approval gates.

Systematic three-phase approach to feature development using Requirements, Design, and Tasks phases. Transforms vague feature ideas into well-defined, implementable solutions that reduce ambiguity, improve quality, and enable effective AI collaboration.

GitHub Spec-Kit integration for constitution-based spec-driven development. 7-phase workflow. Triggers: \

Guides specification-driven development workflow. Automatically invoked when discussing new features, specifications, technical planning, or implementation tasks. Ensures proper workflow phases (specify → clarify → plan → checklist → tasks → analyze → implement).

Use when understanding legacy or undocumented systems, creating documentation for existing code, or extracting specifications from implementations. Invoke for legacy analysis, code archaeology, undocumented features.

Dialogue-driven spec development through skeptical questioning and iterative refinement. Triggers: \

Automatically convert Confluence specification documents into structured Jira backlogs with Epics and implementation tickets. When Claude needs to: (1) Create Jira tickets from a Confluence page, (2) Generate a backlog from a specification, (3) Break down a spec into

Verifies code implements exactly what documentation specifies for blockchain audits. Use when comparing code against whitepapers, finding gaps between specs and implementation, or performing compliance checks for protocol implementations.

Standard software engineering workflow for requirement analysis, technical design, and task planning. Use this skill when developing new features, complex architecture designs, multi-module integrations, or projects involving database/UI design.

Execute this skill should be used when the user asks about \

A rigorous, traceability-first system that generates five interconnected architectural documents (blueprint.md, requirements.md, design.md, tasks.md, and validation.md) with complete requirements-to-implementation traceability. Use this skill when users need to architect

Write technical specifications that give agents enough context to implement features while leaving room for autonomous research and decision-making. Use when planning features, documenting architecture decisions, or creating implementation guides.

Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models,

Use when implementing speech-to-text, live transcription, or audio transcription. Covers SpeechAnalyzer (iOS 26+), SpeechTranscriber, volatile/finalized results, AssetInventory model management, audio format handling.

Analyze Pollinations revenue, pack purchases, and tier spending patterns. Query Polar for payment history and Tinybird for usage data.

Configure spike test setup operations. Auto-activating skill for Performance Testing.\nTriggers on: spike test setup, spike test setup\nPart of the Performance Testing skill category. Use when writing or running tests. Trigger with phrases like \

Split BenchmarkDotNet assembly markdown files into individual files per benchmark method using splitasm. Use to break one big assembly code file per benchmark into one file per benchmark method.

Analyzes current changes and suggests how to split them into smaller, reviewable PRs

This skill enables Claude to split datasets into training, validation, and testing sets. It is useful when preparing data for machine learning model development. Use this skill when the user requests to split a dataset, create train-test splits, or needs data partitioning for

Manages crypto wallets, transfers tokens, swaps on DEXes, checks balances, and accesses paid APIs (search, image gen, prediction markets, web scraping, document parsing, sales prospecting) via x402 micropayments. Use when the user asks about wallet balances, token transfers,

Threads CLI - Read, post, reply, and search on Meta's Threads using OpenClaw browser tool. Use when the user wants to interact with Threads: posting, reading timeline, viewing profiles, replying to threads, or searching.

Activate \

Control Spotify playback on macOS. Play/pause, skip tracks, control volume, play artists/albums/playlists. Use when a user asks to play music, control Spotify, change songs, or adjust Spotify volume.

Create and manage Spotify playlists, search music, and control playback using the Spotify Web API. UNIQUE FEATURE - Generate custom cover art images (Claude cannot generate images natively, but this skill can create SVG-based cover art for playlists). CRITICAL - When generating

Terminal Spotify playback/search via spogo (preferred) or spotify_player.

Spotify control via Web API - playback, history, top tracks, search. Cross-platform (no Mac required).

Exhaustive Google Places search using grid-based scanning. Finds ALL places, not just what Google surfaces.

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.

Spring Boot 架构模式、REST API 设计、分层服务、数据访问、缓存、异步处理和日志记录。适用于 Java Spring Boot 后端工作。

Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.

Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.

Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.

Work on a batch of GitHub issues in parallel using Agent Teams. Creates one worktree per issue with TDD enforcement, coordinates via a lead agent, then produces stacked PRs.

Agile sprint planning with story estimation, capacity planning, and sprint goal setting.\nUse when: planning sprints, estimating stories, defining sprint goals, managing sprint backlogs,\nor when user mentions sprint planning, agile, scrum, story points, or sprint capacity.

Comprehensive SQL query assistant for database operations, optimization, and troubleshooting. Use when Codex needs to write, debug, optimize, or explain SQL queries; analyze database schemas; or help with SQL-related tasks including joins, subqueries, aggregations, and

Analyze SQL queries for performance and security issues

Sql Injection Detector - Auto-activating skill for Security Fundamentals.\nTriggers on: sql injection detector, sql injection detector\nPart of the Security Fundamentals skill category.

SQL注入测试的专业技能和方法论

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use PROACTIVELY for database optimization or complex analysis.

Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or

Optimize sql query optimizer operations. Auto-activating skill for Data Analytics.\nTriggers on: sql query optimizer, sql query optimizer\nPart of the Data Analytics skill category. Use when working with sql query optimizer functionality. Trigger with phrases like \

Guide for researching SQL syntax and behavior for database backends. Use when you need to research how a SQL function, command, or feature works in a specific database before implementing it in dbplyr.

Assist with sql transform helper operations. Auto-activating skill for Data Pipelines.\nTriggers on: sql transform helper, sql transform helper\nPart of the Data Pipelines skill category. Use when working with sql transform helper functionality. Trigger with phrases like \

Guide for adding SQL function translations to dbplyr backends. Use when implementing new database-specific R-to-SQL translations for functions like string manipulation, date/time, aggregates, or window functions.

Convert natural language to SQL queries. Use when you need to write SQL fast.

SQL 注入漏洞检测与利用。当目标存在数据库查询、搜索功能、登录表单、URL 参数时使用。包括 UNION、报错、盲注等技术。

Проверка консистентности данных в SQLite баз данных MikoPBX после операций REST API. Использовать при валидации результатов API, отладке проблем с данными, проверке связей внешних ключей или инспектировании CDR записей для тестирования.