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Query_mechanism_urbind
Query_mechanism_urbind contains 6 collected skills from Open-Earth-Foundation, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Review pull requests for high-impact issues only. Use when the user asks to review a PR, especially requests like "do a review of PR <id>", "review PR <id>", or "PR review". Focus on security, repository conventions, reuse over reimplementation, structure consistency, and unnecessary complexity. Return only actionable comments worth changing.
Create or update any LLM-related prompt file in this repository using the required `<role>`, `<task>`, `<input>`, and `<output>` structure, with optional `<tools>` when tool policy is needed, and explicit model-aligned field contracts. Use for prompts stored in markdown, Python prompt templates, YAML/JSON config prompts, and any other runtime prompt definitions for large language models (LLMs).
Review LLM pipeline changes that add or modify retry logic, batching, multi-pass aggregation, fallback flows, or persisted diagnostics/artifacts. Use when an agent, orchestrator, writer, or API path changes how LLM calls are retried, split, combined, failed closed, or written to/read from run artifacts.
Use when a user asks to run Expect or expect-cli, validate the frontend in a real browser, or surface Expect's native replay output for this repository.
Review generated, imported, or cleaned-up Markdown artifacts for conversion damage before changes are applied. Use when Codex needs to inspect Markdown files for encoding corruption, broken tables, whitespace merges, repeated extraction fragments, malformed blockquotes, or similar document-conversion artifacts and propose exact fixes before editing.
Analyze GitHub pull request review threads against the current local branch. Use when the user asks to list unresolved PR comments, quote the exact review text, explain the code under review, determine whether the issue still exists, and state whether a fix or only a reply is needed.