Sub-skill: Build / update the Voice & Brand Profile

Sub-skill: Build / update the Voice & Brand Profile

Builds or refreshes ../../../references/voice-profile.md so every writing skill in this bundle drafts in the user's real voice instead of a generic "human" voice. Runs on any agent (Claude Code, Codex, OpenClaw): the core path needs only the user's own writing pasted in. Apify is an optional accelerator, never required.

When this runs

• User says "build my voice profile", "learn my voice", "set up my profile", or invokes linkedin-humanizer --mode profile.
• Also offer it the first time a writing skill runs and finds filled: no.

Inputs (any one is enough)

1. Pasted samples (portable default). Ask for 3-6 of the user's own real LinkedIn posts or comments. This alone is enough; no token, no history needed.
2. Apify-assisted (optional). If APIFY_TOKEN is set and the user gives their profile URL, pull recent activity with lib.fetch_user_recent_comments(username=...) (and any post URLs they share via lib.fetch_post) to gather more samples. Treat as an accelerator on top of, not a replacement for, pasted samples.
3. Manual. The user can also just tell you their niche, rules, and links.

Steps

1. Gather 3+ real samples of the user's writing (pasted or pulled).
2. Extract the voice fingerprint from the samples, not from assumptions:
   • sentence-length rhythm (short/medium/mixed, and how often a long line appears)
   • recurring openers and transitions they actually use
   • punctuation habits (soft .. pause? never em dashes? line breaks per idea?)
   • vocabulary they lean on, and any words/cliches they clearly avoid
   • emoji and hashtag behavior
3. Infer niche, ICP, and pillars from the sample topics; confirm with the user rather than guessing.
4. Capture hard rules and CTA/link style the samples reveal or the user states.
5. Write ../../../references/voice-profile.md: fill sections 1-5, copy the 2-4 strongest lines verbatim into "Signature examples", and set the Status block to filled: yes, source: <pasted|apify|manual>, updated: <today's date>.
6. Show the user the filled profile for approval before saving, and tell them any writing skill will now match it automatically. They can edit the file anytime.

Hard rules

• Build the fingerprint from the user's ACTUAL samples. Never invent a voice.
• Preserve their quirks (a favorite phrase, an unusual rhythm). Those are the point. Only the generic AI-tell scrub still applies to drafts later, not to the profile itself.
• Keep it honest about coverage: with 3 samples say the profile is a first pass and will sharpen as they add more; suggest re-running after 10+ posts.
• Never put secrets, private data, or anything the user did not provide into the file.

Related

• The filled profile is read by linkedin-post-writer, linkedin-comment-drafter, linkedin-reply-handler, and linkedin-repurposer before they draft.
• Re-run this any time the user's voice or focus shifts to refresh the profile.