beagle-core

Plugin beagle-core from marketplace existential-birds in existential-birds/beagle. Commands read from the repo's manifest — 1 month ago.

Skills (19)

• commit-push

  commit and push all local changes to remote repo

• create-pr

  create a pull request with standardized description template

• fetch-pr-feedback

  Fetch unresolved review comments from a PR and evaluate with receive-feedback skill

• fix-llm-artifacts

  Applies fixes from a prior review-llm-artifacts run, with safe/risky classification. Respects verify-llm-artifacts output when present to skip false positives.

• gen-release-notes

  generate release notes for changes since a given tag

• llm-artifacts-detection

  Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns. Use when cleaning up AI-generated code or reviewing for agent-introduced cruft.

• prompt-improver

  Optimize prompts for code-related tasks following prompt-engineering best practices. Use when refining prompts for implementation, debugging, refactoring, code review, or testing.

• receive-feedback

  Process external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool. Verifies claims before implementing, tracks disposition.

• respond-pr-feedback

  Respond to review comments on a PR after evaluation and fixes

• review-feedback-schema

  Schema for tracking code review outcomes to enable feedback-driven skill improvement. Use when logging review results or analyzing review quality.

• review-llm-artifacts

  Detects common LLM coding agent artifacts across four categories (tests, dead code, abstraction, style) over the project or changed files — using parallel subagents when the agent supports them, otherwise four sequential passes. Scans files changed since main by default; use --all for full-project s

• review-plan

  Review implementation plans for parallelization, TDD, types, libraries, and security before execution

• review-skill-improver

  Analyzes feedback logs to identify patterns and suggest improvements to review skills. Use when you have accumulated feedback data and want to improve review accuracy.

• review-skill

  Reviews PRs that add or modify Agent Skills, checking structural validity, design quality, and marketplace consistency. Use when reviewing skill file changes, auditing SKILL.md quality, or running automated skill PR reviews.

• review-structure

  Repo-wide structural-maintainability review — code-judo restructurings, 1k-line file guard, anti-spaghetti branching, canonical-layer enforcement, anti-magic abstractions, explicit type/boundary contracts.

• review-verification-protocol

  Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.

• skill-builder

  Create Agent Skills with best practices, structure, validation, and testing. Use when designing or refining skills, prompts, references, or supporting files.

• subagent-prompt

  Produce a comprehensive prompt that hands off the current session's work to a fresh session for sub-agent-orchestrated execution. Use when the user wants to execute discussed/planned work in a new session, run a job to completion via sub-agents, or generate a portable handoff prompt with per-task ve

• verify-llm-artifacts

  Confirms or rejects findings from review-llm-artifacts before deletes or risky refactors. Loads review-verification-protocol-style checks per finding. Use after a review run, when the user wants to reduce false positives, before fix-llm-artifacts on dead code, or when validating a full-project scan.

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