Total 58,005 skills
Showing 12 of 58005 skills
Structured workflow for implementing new features with planning, clarification, and documentation. Use when implementing new features, making significant changes, or when the user requests a feature that requires planning and multiple implementation steps. Triggers on feature requests, multi-step implementations, or when explicit planning is beneficial.
Comprehensive security auditor for OpenClaw skills. Checks for typosquatting, dangerous permissions, prompt injection, supply chain risks, and data exfiltration patterns — before you install anything.
Converts X (Twitter) tweets and articles to markdown with YAML front matter. Uses reverse-engineered API requiring user consent. Use when user mentions "X to markdown", "tweet to markdown", "save tweet", or provides x.com/twitter.com URLs for conversion.
Manage multi-level novel revisions while preventing cascade problems. Use when editing novels, when changes at one level break things at others, when you need systematic change management for long-form fiction, or when revisions keep creating new problems.
BK-CI 数据库设计规范与表结构指南，涵盖命名规范、字段类型选择、索引设计、分表策略、数据归档。当用户设计数据库表、优化索引、规划分表策略或进行数据库架构设计时使用。
Verify MongoDB Atlas setup and configuration for backend applications. Checks connection strings, environment variables, connection pooling, and ensures proper setup for Next.js and NestJS applications.
Call the Recoup API and external connectors directly — fetch any platform resource (artists, socials, organizations, research, documents) and run connector actions (Google Docs/Sheets/Drive edits, Gmail, TikTok, Instagram). Use whenever you need raw Recoup data, a platform resource, to write curl against api.recoupable.dev, or to read/write something outside Recoup like a Google Doc URL or a spreadsheet. The plumbing every other skill rides on. To onboard or operate on an artist use the recoup-roster-* skills; for first-run connection use recoup-platform-connect-account.
Analyze competitor repositories with an evidence-based approach. Use this when tracking competitors, creating competitor profiles, or generating competitive analysis. CRITICAL - all analysis must be based on actual cloned code, never assumptions. Triggers include "analyze competitor", "add competitor", "competitive analysis", or "竞品分析".
dontbesilent Personal Decision System. Turn any domain requiring long-term tracking (business, relationships, health, career, learning, investment, etc.) into a local knowledge project: four-layer structure, source tags, immutable snapshots, and a concept library that extracts patterns. Triggers: /dbs-decision, /决策系统, /决策立案, /结果回填, /状态画像 Personal decision system. Turns any long-running domain into a local knowledge project with four layers, source tags, immutable snapshots, and a concept library that learns patterns over time. Trigger: /dbs-decision, /决策系统, /决策立案, /结果回填, /状态画像
通过Eureka专利数据平台获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、Eureka说明书数据、patent specification, patent full text, technical description, embodiment details, Eureka, patent detailed description, patent description data时触发此技能。即使用户未明确说"Eureka"，只要其需要查看一项或多项专利的完整说明书/描述内容，也应触发此技能。
Golang OpenAPI/Swagger documentation with swaggo/swag — annotation comments (@Summary, @Param, @Success, @Router, @Security), swag init code generation, framework integrations (gin, echo, fiber, chi, net/http), security definitions (Bearer/JWT, OAuth2, API key), and struct tags (swaggertype, enums, example, swaggerignore). Apply when adding or maintaining Swagger/OpenAPI docs in a Go project, or when the codebase imports github.com/swaggo/swag, github.com/swaggo/gin-swagger, github.com/swaggo/echo-swagger, github.com/swaggo/http-swagger, or github.com/swaggo/files.
Drop-in pandas replacement with ClickHouse performance. Use `import chdb.datastore as pd` (or `from datastore import DataStore`) and write standard pandas code — same API, 10-100x faster on large datasets. Supports 16+ data sources (MySQL, PostgreSQL, S3, MongoDB, ClickHouse, Iceberg, Delta Lake, etc.) and 10+ file formats (Parquet, CSV, JSON, Arrow, ORC, etc.) with cross-source joins. Use this skill when the user wants to analyze data with pandas-style syntax, speed up slow pandas code, query remote databases or cloud storage as DataFrames, or join data across different sources — even if they don't explicitly mention chdb or DataStore. Do NOT use for raw SQL queries, ClickHouse server administration, or non-Python languages.