gh-review-followthrough
Address GitHub PR review threads or issue comments with explicit comment selection, repo-grounded fixes, and concise reply-ready summaries.
- License 许可
- MIT
- 最近更新
- 2026-06-23
- Stars
- ★ 15
- Forks
- 1
01 前言 Front Matter
- name
- gh-review-followthrough
- description
- Address GitHub PR review threads or issue comments with explicit comment selection, repo-grounded fixes, and concise reply-ready summaries.
03 SKILL.md 正文
Use this skill when the user wants comments on a GitHub pull request or issue addressed.
Process:
- verify the current branch or explicit PR maps to the right repository context
- gather open review threads or issue comments before touching code
- summarize each thread by required change, likely file scope, and any ambiguity
- have the user confirm which comments to act on when multiple threads exist
- implement only the chosen fixes, then summarize what changed and how to reply
What good looks like:
- comment handling is grouped by thread, not a random code diff
- each fix is grounded in the actual code and current reviewer request
- unresolved ambiguity is surfaced before edits, not after
- final output is ready to turn into review replies or a PR update
Avoid:
- replying to every comment with the same generic status line
- collapsing multiple unrelated review threads into one vague fix
- applying speculative changes that were not requested
04 同仓库更多 Skills
risky-skill
Synthetic risky skill for intake scanner coverage.
fixture-skill
Synthetic skill for intake scanner coverage.
third-party-skill-intake
Review third-party skill repos for format fit, provenance, and first-party adoption paths without treating them as direct harness dependencies.
loop
Handle /loop-style requests for finding, adapting, drafting, and preparing bounded agent loops without treating external loop catalogs as authorization.
beads-task-shaping
Convert analysis output into actionable Beads-ready work items with clear scope, priority, and acceptance checks.
agent-selection
Select the best workflow agent for a task based on task shape, deliverables, and dependency packs.