Draft a thoughtful LinkedIn comment or reply to an existing post. Use when the user wants to respond on LinkedIn, contribute to a professional conversation, answer a LinkedIn comment, or add a source-backed public progress, launch, or checkpoint update. It preserves the target context, applies the LinkedIn voice and public-context scrub, and returns a draft only. Do not use for a new standalone post or for publication.
Scanned 9/3/2026
Install to Claude Code
npx -y skills add OKHP3/skillz --skill okhp3-linkedin-comment --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: okhp3-linkedin-comment
description: >
Draft a thoughtful LinkedIn comment or reply to an existing post. Use when
the user wants to respond on LinkedIn, contribute to a professional
conversation, answer a LinkedIn comment, or add a source-backed public
progress, launch, or checkpoint update. It preserves the target context,
applies the LinkedIn voice and public-context scrub, and returns a draft only.
Do not use for a new standalone post or for publication.
license: MIT
metadata:
public_artifact: true
author: Public Agent Skill Library
version: "1.2.0"
category: social-posting
origin: portable-agent-skills
in_scope: "Drafting a context-aware LinkedIn comment or reply from a supplied target conversation."
out_of_scope: "Publishing, engagement automation, standalone post drafting, or employer-specific disclosure."
---
# okhp3-linkedin-comment
Portable, identity-agnostic Agent Skill.
## Public-package data boundary
This package and its fixtures contain no execution account, person, project,
campaign, topic, bias, opinion, or private URL. Use placeholders in public
examples and obtain all such context from the current run only.
Draft a contribution, not a miniature broadcast.
## Scope
This package drafts one LinkedIn comment or reply from supplied conversation
context. It does not publish, automate engagement, or replace the standalone
post workflow.
## Process
1. Read the target post and any parent comment that matters. Record the
canonical target URL or stable post identifier when available. Identify the
acting account, intended relationship to the author, and the exact point the
comment should add, answer, question, or gently correct. Do not draft from a
headline or a partial screenshot alone.
2. State the contribution in one sentence before writing. Avoid empty praise,
attention capture, recycled talking points, or an implied endorsement the
evidence does not support. A comment adds one contribution; if the request
needs a multi-link campaign, route it to `okhp3-linkedin-post`.
3. For repository or public progress claims, verify the public source, exact
ref, bounded observation window, timezone, and retrieval time. Keep a pending
contest, award, or launch outcome pending. Do not claim a full test suite or
deployment unless that result was actually observed.
4. Write a direct, professional response that keeps the target conversation in
view. Use a mention only when the user supplied the correct account and the
mention is necessary to the response. Keep one primary link; preserve
user-supplied secondary links only when their roles are explicit and useful.
5. Apply `okhp3-linkedin-voice` as the final prose pass, then run the local
public-context gate in `references/public-context-gate.md`. Generalize or
block any employer-identifying, private, stale, or unsupported claim.
6. Return one paste-ready comment and a compact evidence and gate report. Do
not submit it. Publication and rendered-text verification remain separate
host actions after explicit user approval.
## Platform boundary
LinkedIn comments can be unavailable when the author disables or restricts
them, and LinkedIn may limit excessive commenting or automation. A draft does
not establish that the account can post it or that publication is appropriate.
## Output contract
Return `Draft` and `Gate report`. The report names the target type, canonical
target identifier, contribution, evidence window when applicable, primary link,
whether a mention was used, and any generalization made. If the target context
is missing or the requested claim is not supportable, return `NEEDS INPUT` or
`needs_generalization` rather than inventing a response.
## Validation
Before return, verify the parent context was supplied, the draft contributes to
that conversation, time-bounded claims have source evidence, the LinkedIn voice
and public-context gates ran, and no publication action is included.
## Current platform reference
- [LinkedIn Help: comment on posts and reply to a comment](https://www.linkedin.com/help/linkedin/answer/a524166/commenting-on-posts-and-comments?lang=en) (retrieved 2026-08-11) documents comment restrictions, replies, and limits on excessive commenting or automation.
## Public-neutrality gate
Keep this package portable for public distribution. Do not embed a person name,
account handle or URL, private identifier, employer or organization identity,
product or project name, campaign name, or user-specific subject in instructions,
examples, references, or evaluation fixtures. Resolve account, destination,
audience, subject, links, current facts, and visibility from execution-time
context. Use placeholders or supplied evidence; platform help links may remain.
## About
This package is distributed as a portable, identity-agnostic Agent Skill.
It resolves account, destination, audience, subject, and source context at execution time.
MIT License -- free to use, fork, and adapt. A nod to the source is appreciated.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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