mcpbeat Sign in

Reply To Pr Conversation Agent Skill

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\".

792 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 AskUserQuestion 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 the Write tool, 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 use the TaskList tool and proceed to any remaining task.

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.

Other skills for the same job

different authors, same section of the catalogue
Doc Coauthoring
by anthropics
vendor ×10

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

4k tokens
Changelog Generator
by frostant
×9

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

774 tokens
Test Driven Development
by w95
×7

Use when implementing any feature or bugfix, before writing implementation code

2k tokens
Writing Plans
by ZhanlinCui
×4

Use when you have a spec or requirements for a multi-step task, before touching code

816 tokens
Writing Skills
by ZhanlinCui
×4

Use when creating new skills, editing existing skills, or verifying skills work before deployment

26k tokens scripts
Crafting Effective Readmes
by softaworks
×3

Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.

15k tokens
Humanizer
by softaworks
×3

| Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

6k tokens
Opentrons Integration
by christophacham
×3

Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.

9k tokens scripts

How to use it

Copy the folder

Take tobihagemann/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.