@wangjipeng977

sync-data-notion handles bidirectional data synchronization between external sources (csv, json, rest api) and notion databases. supports full, incremental, dry-run, and reverse modes with schema validation, field mapping, partial failure handling, and rate limit recovery.

text-to-sql-v2 bridges non-technical users to SQL by translating natural language requests into syntactically correct queries given an existing schema. covers multiple modes (basic, explained, alternatives) and enforces mandatory rules around column qualification and schema validation.

json-to-api transforms raw json payloads into openapi 3.0 specifications with proper rest endpoints, http methods, and request-response schemas. covers single objects, collections, nested resources, and includes an expand mode for pagination and filtering.

git-watcher provides local version control for openclaw configuration files with commit, diff, log, and restore modes. tracks config state changes without exposing secrets, enables rollback to any previous checkpoint.

convert-github-repository transforms github repositories into multiple formats (markdown, json, csv, tree) while preserving content fidelity and semantic structure. handles both remote urls and local git repos with explicit error reporting and file manifest generation.

sql-to-dashboard translates query results into chart specifications by analyzing column types and query patterns, then outputs plotly, grafana, or mermaid specs with correct axis mapping and appropriate chart type selection.

csv-to-task converts tabular data rows into structured task objects with configurable field mapping, preserving original data and supporting multiple output formats (markdown, jira, json, csv).

csv-to-chart converts tabular data into visual charts by detecting column types, matching appropriate chart types to data shape, and generating runnable code with proper labels and error handling.

wangjipeng-meeting-transcript-to-summary extracts structured summaries from meeting transcripts, organizing decisions, action items, and open questions with explicit speaker and timestamp handling.

code-to-mindmap transforms source code into visual diagrams (mindmaps, graphs, trees) to reveal structure and relationships. covers single files and multi-file projects across python, javascript, go, and others.

wangjipeng-log-to-incident-report converts unstructured error logs into formal incident reports with root cause analysis, impact assessment, and remediation steps. activates only when users provide log content explicitly.

log-to-alert converts recurring error patterns from pasted logs into structured alert rules for monitoring systems. parses multiple log formats, deduplicates similar errors, and outputs rules in prometheus, grafana, or generic json formats.

wangjipeng-screenshot-to-prototype converts ui screenshots into editable frontend code by analyzing layout, detecting components, and generating html/css or framework-based prototypes with explicit assumptions.

wangjipeng-diagram-to-code converts architecture diagrams (mermaid, plantuml, draw.io) into infrastructure code or component implementations, mapping diagram elements to terraform, kubernetes, cloudformation, or application code with explicit assumptions and validation.

ai-image-to-code converts ui screenshots into html/css or react+tailwind components by analyzing layout, color, and typography. three modes support plain code, react output, or description-only analysis.

ai-image-to-code-yanyu accepts ui screenshots and generates html/css or react+tailwind code with responsive layouts and contextual content. three modes support different output formats, from full code generation to layout description only.

ai-image-to-code-jipeng converts ui screenshots into html/css or react + tailwind components via vision analysis, with mobile-first responsive design and semantic markup generation.

Use when (1) user describes what data they want in plain English and asks for the corresponding SQL query. (2) user says "write SQL for this", "convert to qu...

Use when (1) user describes what data they want in plain English and asks for the corresponding SQL query. (2) user says "write SQL for this", "convert to qu...

Use when (1) user provides API spec in OpenAPI or Swagger format and needs a runnable mock server.

Use when (1) user describes what data they want in plain English and asks for the corresponding SQL query. (2) user says "write SQL for this", "convert to qu...

Use when a session is about to end with unfinished work, after context loss or compaction, after a crash, or when the user wants to resume a multi-step task....

Use when (1) building an AI agent that needs to communicate with other agents over the Agent2Agent (A2A) protocol, (2) publishing an AgentCard for discovery,...

Analyze OpenClaw skill ecosystem — dependencies, orphan detection, ecosystem health score, impact analysis, and skill relationships. Use when the user asks a...

Use when (1) user provides a long markdown document and asks to summarize, abstract, or condense it. (2) user says "summarize this", "tl;dr", "give me the ke...

Use when (1) user pastes a programming error message, stack trace, or exception and asks what went wrong. (2) user says "this error means", "why is this brok...

Use when (1) user provides a code snippet and asks to convert it from one programming language to another (e.g., Python to JavaScript, Java to Kotlin). (2) u...

Use when (1) user provides a natural language description and asks to convert it to a structured format (SQL query, JSON object, API request, search query, r...