mcpbeat

Reply To Pr Conversation

tobihagemann/turbo-reply-to-pr-conversation

Draft, confirm, and post a single conversational reply to GitHub PR conversation comments (issue comments). The reply addresses all tracked items in one natural-prose message. Use when the user asks to \"reply to PR conversation\", \"post PR conversation replies\", or \"draft PR conversation messages\".

804 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
398
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/tobihagemann/turbo --skill reply-to-pr-conversation

The instruction itself

6 sections, as written by the author

Reply to PR Conversation

Draft a single reply that addresses a processed issue-comment list, confirm with the user, and post it as a new PR issue comment.

Step 1: Run $github-voice Skill

Run the $github-voice skill to load voice rules and the insider-vs-outsider detection.

Step 2: Compose the Reply

Use the processed-item list from conversation context. Each entry has: id, author, original comment body (to quote from selectively), category (fix, skip, answer, or clarify), and per-category payload.

Draft one reply that addresses every item as natural conversational prose. The output is a single piece of prose with flexible length and no rigid section structure.

Use the category to interpret each payload:

  • fix: payload is a commit SHA. Mention "fixed in <sha>" where it fits the flow, plus a brief note when the fix diverges from what the commenter suggested.
  • skip: payload is the skip reasoning. State it directly.
  • answer: payload is answer text prepared upstream. Integrate it as the implementer's own words.
  • clarify: payload is a user-directed question. Ask it as-is.

Quote selectively. Use > blockquotes only for the phrase being responded to. A single-topic reply quotes one sentence then responds; a multi-topic reply weaves quotes and responses together. Drop quotes entirely when @mentions plus context make the reply unambiguous.

Quote handling:

  • Strip leading > from quoted lines so nested blockquotes don't misattribute.
  • Replace fenced-code lines inside a quote with > [code snippet].
  • If the author login ends in [bot], omit the suffix from the @ mention.

Apply $github-voice rules. Match the conversation's length and tone. An acknowledgment with emoji is fine when the discussion calls for it; a multi-paragraph response is fine when the items warrant it.

Step 3: Confirm

Output the drafted reply as text for review:

**Draft comment**

<full comment body as it will be posted>

Then use request_user_input to ask whether to post. Offer:

  • Post — post the comment
  • Cancel — skip posting

Step 4: Post the Comment

Auto-detect owner, repo, and PR number from the current branch if not provided. Write the drafted body to .turbo/pr/<pr_number>-comment.md with apply_patch, then post via the issue-comments REST endpoint:

gh api -X POST \
  "/repos/<owner>/<repo>/issues/<pr_number>/comments" \
  -F [email protected]/pr/<pr_number>-comment.md

Report the posted comment's URL.

Then call update_plan to mark this step completed and continue with the next step of the active workflow.

Rules

  • Never close the PR, resolve a thread, or edit existing comments. Only post a new issue comment.
  • If the post fails, report the failure and leave the drafted body in the output so the user can post it manually.

How to use it

Copy the folder

Take tobihagemann/turbo-reply-to-pr-conversation from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.