docs-check
Check if documentation is up to date with code changes. Analyzes git changes and identifies documentation that may need updating, comparing code modifications against design docs and package READMEs.
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。
Check if documentation is up to date with code changes. Analyzes git changes and identifies documentation that may need updating, comparing code modifications against design docs and package READMEs.
Run a comprehensive code review of local changes, analyzing staged and unstaged changes to provide insights, identify issues, and suggest alternative approaches. Use when reviewing code before committing or cre...
View and analyze Hawk evaluation results. Use when the user wants to see eval-set results, check evaluation status, list samples, view transcripts, or analyze agent behavior from a completed evaluation run.
How to create and use our alembic database migration tool. Use when making changes to models.py.
Monitor Hawk job status, view logs, and diagnose issues. Use when the user wants to check job progress, view error logs, debug a failing job, or generate a monitoring report for a Hawk evaluation run.
This skill helps you generate a new OpenMRS ESM microfrontend (DHTI conch) from this template. Use this skill when you need to create a new DHTI-enabled microfrontend that integrates with the OpenMRS 3.x ecosys...
This skill enables AI agents to generate new DHTI elixir projects from a cookiecutter template. Elixirs provide backend GenAI capabilities as HTTP endpoints hosted by LangServe. The skill guides the agent throu...
Optimize information density by filtering workspace files based on relevance to the current task. Excludes high-noise files (lockfiles, assets) and prioritizes source code matching semantic queries.
Generate comprehensive dependency graphs to identify "single-points-of-failure" and impact analysis chains.
Identify duplicate files across the workspace using SHA256 hashing to reduce redundancy and confusion.
Enforces a structural planning phase before execution. Generates and validates PLAN.json to ensure every task has a clear objective, steps, verification method, and rollback strategy.
Structured logging and analysis of execution failures to prevent recurrence.
Generates a 'Red Team' critique of recent code or plans to identify weak assumptions and edge cases.
Generate optimized scripts that utilize the specific hardware (cores, GPU, OS) of the execution environment.
Provides a Model Context Protocol (MCP) server interface to the skills library, allowing any MCP-compliant agent (e.g. Claude Desktop) to invoke Antigravity skills as native tools.
Updates standardized intent files (NEXT.md, STATE.json) to maintain context across agent sessions.
Detect and prevent state-visibility violations across execution contexts within a single transaction.
Convert mixed terminal output and instructions into safe, paste-ready command blocks.
Enables mid-stream course correction by monitoring a FEEDBACK.md file for user interventions. Allows the agent to incorporate new instructions without restarting the task.
Wraps command execution in a self-healing loop. Uses heuristics to auto-fix common errors (missing deps, locked files) or escalates to the Agent with structured error context.
Removes ignored build artifacts (bin, obj, node_modules) to reclaim space and fix ghost build errors. Safely respects .gitignore.
Rapidly ingest documentation via the /llms.txt standard to gain "fast-track" understanding of libraries without scraping entire sites.
Create or update .gitignore files by fetching standard templates from the GitHub/gitignore repository.
Prepares isolated sub-workspaces for parallel agent execution. Copies context and generates specific mission instructions for "Worker" agents.
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。