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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

Install / Use

npx skills add tobihagemann/turbo --skill reply-to-pr-conversation

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Category

Other

Supported Platforms

Universal

Our assessment of reply-to-pr-conversation

reply-to-pr-conversation scores 83/100 on our quality scale, 197th of 249 Other skills we index.

Its SKILL.md is 3.1 KB long, split into 6 sections with 2 code examples: a solid amount of guidance for an agent.

It has 405 GitHub stars, a meaningful sign that others use it.

Substance
26/30
Structure
16/20
Description
15/15
Adoption
11/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 12 days ago, so reply-to-pr-conversation is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-10-05. Automated pattern scan on 2026-10-05. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

reply-to-pr-conversation compared with similar skills

All 4 of these similar skills score higher than reply-to-pr-conversation; compare them before choosing.

SkillScoreStarsUpdatedFormat
reply-to-pr-conversation (this skill)by tobihagemann8340512d agoSKILL.md
Agent-Reachby Panniantong10091.8k20d agoCLAUDE.md
LocalAIby mudler10049.4ktodayMCP Server
algorithmic-artby anthropics100177.9k13d agoSKILL.md
pptxby anthropics100177.9k13d agoSKILL.md

Frequently asked questions

How do I install reply-to-pr-conversation?
Run npx skills add tobihagemann/turbo --skill reply-to-pr-conversation. The install tabs above show the steps for each supported agent.
Which AI agents does reply-to-pr-conversation work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is reply-to-pr-conversation safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is reply-to-pr-conversation still maintained?
The repository was last updated 12 days ago, so reply-to-pr-conversation is actively maintained.

name: reply-to-pr-conversation description: "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"."

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 body=@.turbo/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.

Related Skills

View on GitHub
GitHub Stars405
CategoryOther
Updated12d ago
Forks31

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions