Signal — LinkedIn Authority Engine
/Signal — LinkedIn Authority Engine
Pisze, krytykuje i planuje posty na LinkedIn głosem konkretnego twórcy, dla marki osobistej i firmowej, bez automatycznej publikacji.
- Autor
- frankxai ↗
- Repozytorium
- agentic-creator-os ↗
- Licencja
- Apache-2.0
- Ostatnia zmiana repozytorium
- 26.10.2026
Ocena i bezpieczeństwo
- Pliki w paczce
- 7
- Skrypty
- 0
- Komentarze HTML
- 0
- Adresy URL w SKILL.md
- 0
Brak sygnałów. Repozytorium zmienione 26.10.2026, bez odwołań do wycofanych modeli i API.
Apache-2.0, otwarta: można używać i zmieniać, z zachowaniem licencji i informacji o zmianach.
Co robi i kiedy
Pisze, krytykuje i planuje posty na LinkedIn głosem konkretnego twórcy, dla marki osobistej i firmowej, bez automatycznej publikacji.
Wyzwalacze z opisu
Oryginalny opis (EN)
The LinkedIn vertical of ACOS. Draft, critique, repurpose, and schedule LinkedIn posts and articles in a specific creator's voice — for a personal brand and a company brand — then learn from what performed. Runs the Excellence Loop, drafts everything, and NEVER auto-posts (a human ships). Use for "/signal", "write a linkedin post", "linkedin article", "repurpose this for linkedin", "plan my linkedin week", "dream100", "become a linkedin top voice".
Jak działa
- The two-brand model
- Modes (the command surface)
- The non-negotiables
- LinkedIn format discipline (the format pass)
- The operating manual
- The knowledge base (the moat)
- What to build next (this pack is a scaffold)
Podgląd SKILL.md
--- name: Signal — LinkedIn Authority Engine description: The LinkedIn vertical of ACOS. Draft, critique, repurpose, and schedule LinkedIn posts and articles in a specific creator's voice — for a personal brand and a company brand — then learn from what performed. Runs the Excellence Loop, drafts everything, and NEVER auto-posts (a human ships). Use for "/signal", "write a linkedin post", "linkedin article", "repurpose this for linkedin", "plan my linkedin week", "dream100", "become a linkedin top voice". version: 0.1.0 status: superseded (2026-07-09) — its knowledge (hook taxonomy, Dream100 method, format playbooks) has been consolidated into FrankX/.claude/skills/social-media-strategy/SKILL.md, which is now the live version other FrankX skills route through. This file stays as the ACOS-native open reference; the ship/learn stages here were never wired (see DAILY_LOOP.md's own "what's live vs needs wiring" table) — don't treat it as a running system. triggers: - "/signal" - "linkedin post" - "linkedin article" - "repurpose for linkedin" - "linkedin week" - "dream100" - "thought leadership post" - "linkedin top voice" inputs: required: [] optional: [mode, brand, source, topic] outputs: - LinkedIn drafts (plain-text, ToS-safe, never auto-posted) - A weekly plan mapped to content pillars - A credited repurpose reframe - An outcome row written to the learning store (when analytics are supplied) dependencies: [frankx-brand] mcp: [notion-mcp, firecrawl] --- # Signal — LinkedIn Authority Engine The productized LinkedIn layer of ACOS, and the flagship vertical of **The Studio**. Signal is a thin, sellable configuration of the general [Excellence Loop](../../docs/architecture/EXCELLENCE_LOOP.md) — the same eight steps, wearing a LinkedIn skin. Two things make Signal different from "an AI that writes LinkedIn posts": 1. **It runs a critique + learning loop.** Every draft passes an independent voice/claim/hook check before it's shippable, and every _shipped_ post's performance is written back so next week's drafts are grounded in what actually worked — not a blank prompt. 2. **It never posts for you.** LinkedIn's terms forbid automated posting through unofficial means. Signal drafts, critiques, and _stages_; a human clicks post. This is the compliant design and the simpler one. ## The two-brand model Signal always operates under one of two voices, loaded from [`personas.md`](personas.md): - **Personal** — the individual's authority voice (first-person, opinionated, career/insight-led). - **Company** — the brand's voice (we/product-led, proof and customer-outcome-led). Same engine, two lenses. Pass `brand: personal` or `brand: company`; default is `personal`. Never blend the two in one draft — pick the lens first. ## Modes (the command surface) Invoke via `/signal <mode>`. Each mode is a segment of the Excellence Loop. | Mode | Loop step | What it does | |---|---|---| | `plan` | Ideate | Reads the voice corpus + recent winners → a week of ranked angles mapped to pillars. | | `draft` | Craft → Execute | One idea/source → a LinkedIn draft in the chosen brand voice, staged as a draft. | | `repurpose` | Execute | Fetch a great external clip/post (Firecrawl) → a **credited** reframe. Highest-ROI motion. | | `critique` | Critique + Verify | Runs `integrity-guard` (brand/claim/schema) + a hook/format check. Returns PASS / warn / FAIL. | | `ship` | Interconnect | Exports the passed draft to a Typefully/LinkedIn **draft** via official API. **A human posts.** | | `learn` | Learn | Takes supplied post analytics → writes the graded outcome to the store → tunes next week. | | `research` | Ideate | Sweeps the source lanes (papers / videos / pdfs / posts) and vets them. See `research-sources.md`. | | `carousel` | Execute | A post → brand-locked carousel slides via multimodal + `canvas-design`. | | `infographic` | Execute | A post / data → a brand-locked infographic. | | `engage` | Distribute | Dream100 newest posts → substantive comment drafts. **A human posts** each. | | `index` | — | Index your existing content (posts / talks / repos) into the searchable library. | If no mode is given, route by intent: a pasted URL → `repurpose`; "plan my week" → `plan`; a raw idea → `draft`; "who should I engage" → `engage`. **Command surface:** `/linkedin <mode>` (memorable front door) and `/signal <mode>` are the same engine. ## The non-negotiables - **Never auto-post.** No mode calls a posting endpoint. `ship` produces a draft a human confirms. This is a hard stop inherited from the root `CLAUDE.md` (posting to LinkedIn is human-gated) and from LinkedIn ToS. - **Critique gates ship.** `ship` refuses a draft that hasn't passed `critique`. Fail-closed. - **Credit is mandatory on `repurpose`.** A reframe of someone else's clip names the source, on its own line, every time. - **No fabricated metrics.** Follower counts, view counts, "top voice" claims obey the Metrics-Truth rule — verify or omit. `learn` only writes numbers a human supplied from real analytics. ## LinkedIn format discipline (the format pass) Applied to every draft, from `knowledge.md`: - Plain text — LinkedIn renders no markdown. No `#`, `*`, or `-` bullets that won't render; use line breaks and unicode where needed. - Hook in the first 1–2 lines (before the "…see more" fold). The scroll stops here or nowhere. - One idea per 1–2 lines, generous line breaks — LinkedIn is skimmed on mobile. - ≤ 3 hashtags, at the end. One link, on its own line near the close (links suppress reach — place deliberately). - Match the persona's emoji/exclamation rules exactly (personal and company differ — see `personas.md`). ## The operating manual - [`DAILY_LOOP.md`](DAILY_LOOP.md) — the daily rhythm (≈45 min of your time: ideate → draft → design → critique → ship → engage → learn) + weekly cadence. - [`research-sources.md`](research-sources.md) — the best-of-best intake lanes (papers / videos / pdfs / posts), the vetting bar, and the signal→post pipeline. - [`agent-team.md`](agent-team.md) — the multi-agent org (lead + researcher / ideator / drafter / designer / engagement + independent critic). - [`../../docs/architecture/SIGNAL_ROADMAP.md`](../../docs/architecture/SIGNAL_ROADMAP.md) — the road to Top Voice + the product stages. ## The knowledge base (the moat) [`knowledge.md`](knowledge.md) holds the reusable intelligence Signal draws on: the hook taxonomy, the format playbooks (text post · document/carousel · article · repurpose), and the Dream100 method. This is the asset that compounds — it grows every time `learn` records what worked. ## What to build next (this pack is a scaffold) Per `L99_BLUEPRINT.md`, Signal is only _real_ once the loop closes. The build order: 1. A `content` table (state spine) so `draft`/`ship` persist instead of vanishing. 2. `ship` wired to the Typefully/LinkedIn official draft API. 3. `learn` wired to the Success Oracle store so performance tunes the next `plan`. Until then, Signal drafts and critiques honestly — and says so.
Pliki w paczce (7)
- DAILY_LOOP.md 4 KB
- README.md 2 KB
- SKILL.md 7 KB
- agent-team.md 3 KB
- knowledge.md 5 KB
- personas.md 3 KB
- research-sources.md 3 KB
Wersje
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