Agent skill

jab-hook

Quellcode ansehen: coreyhaines31/makerskills

#201Globales Ranking · von 201 SkillsMedium

Installation

npx skills add coreyhaines31/makerskills --skill jab-hook

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/jab-hook — Jab-jab-jab-right-hook for a personal portfolio

Gary Vaynerchuk's framework applied to your configured portfolio: keep the feed mostly jabs (value — BIP + educational) so the hooks (promo) earn attention when they land. Drafts to your personal Typefully workspace.

One-time setup: see references/properties.md and references/typefully-config.md to configure your real portfolio + workspace. Personal config lives in ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/.

Mental model

  • N rotation slots (configured in ~/.config/makerskills/jab-hook/properties.yaml): one per property you want to promote on rotation
  • ~2 promo posts/week → each property cycles every ~3 weeks at equal weight
  • Non-promo days: 50/50 build-in-public vs educational
  • Target weekly rhythm: ~2 promo + ~2–3 BIP + ~2–3 educational
  • Platforms: X + LinkedIn via your personal Typefully workspace

Step 1 — Pick the mode

Detect from the trigger:

User says Mode
"plan my socials," "next week's posts" plan
"what should I post," "next promo," "pick next" pick-next
"audit my socials," "what's overdue," "what haven't I posted about" audit
"draft a promo for X," "BIP post about Y," "educational about Z" draft

If ambiguous, confirm.

Step 2 — Load context

  1. Read references/properties.md — the 6 rotation slots and angle ideas
  2. Read references/voice.md — the user's voice rules per platform
  3. Read references/content-types.md — templates for promo / BIP / educational
  4. Pull recent posts from your personal Typefully workspace:
    • First run: call mcp__typefully__typefully_list_social_sets and ask which social set is your personal (X + LinkedIn). Save the ID to ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/typefully.yaml for future runs (schema in references/typefully-config.example.yaml — never save it inside the skill folder; upgrades wipe it).
    • Call mcp__typefully__typefully_list_drafts filtered to the last 30 days
    • Classify each as promo / BIP / educational by content
  5. Compute days since last promo for each of the 6 slots

Step 3 — Mode logic

plan (7-day plan)

  • Slot the 1–2 most overdue properties as promo posts
  • Fill remaining 5 days with alternating BIP and educational (50/50)
  • Output as a table: Day | Type | Property/Topic | Hook | Draft summary
  • Don't stack two promo on consecutive days
  • After the user approves the plan, offer to draft each one in sequence

pick-next

  • Identify the most overdue property
  • If most overdue < 14 days, suggest a BIP or educational instead (whichever is less recent)
  • Draft 1 post; ask before syndicating

audit

  • Report: days since last promo per property, ordered by most overdue
  • Flag any property >21 days as overdue
  • Suggest the next 1–2 moves

draft

  • Skip rotation logic — draft the requested post
  • Use the right content-type template

Step 4 — Draft

Follow references/voice.md and references/content-types.md. Default: single post, one per platform (X version + LinkedIn version). Thread only if the second post earns its place.

Link placement (load-bearing): never put a URL in the body. Default is no link at all — let curiosity drive the click. When a link is needed, draft it as a first comment for LinkedIn (Typefully supports auto-comment) or a reply for X. The body always stands alone.

Optional: inspiration scan

For promo and educational posts, optionally scan inspiration accounts (references/inspiration.md) before drafting:

  1. Pick 1–2 accounts whose audience overlaps with the property
  2. Pull recent posts (agent-browser if it works on LinkedIn; otherwise ask the user to paste examples or fall back to their X/newsletter)
  3. Extract structural patterns: hook openers, post length, line-break rhythm, CTA styles
  4. Apply ONE pattern to the user's voice — never mimic phrasing
  5. Log new patterns in ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/patterns.local.md (create if missing) so they accumulate — references/patterns.md documents the starter patterns and stays read-only

Skip inspiration scan when the user says "just draft it" or when iterating on an existing post.

Step 5 — Syndicate to Typefully

Ask: "Push to Typefully now? (X + LinkedIn, your personal workspace)"

If yes:

  1. Read social set ID from ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/typefully.yaml (setup notes in references/typefully-config.md)
  2. Call mcp__typefully__typefully_create_draft once for X, once for LinkedIn (or once with both platforms if the social set spans both)
  3. If the draft has a first-comment link, configure Typefully to add it automatically (LinkedIn auto-comment / X reply). If the MCP doesn't support auto-comment for one of the platforms, surface the comment text so the user can paste it after publishing.
  4. Default to draft state (not scheduled) — the user reviews in Typefully UI before sending
  5. Return the Typefully draft URLs

Composes with

  • paste — clean output for pasting into Typefully / LinkedIn / X manually if the MCP path doesn't fit
  • social-fetch — pull inspiration-account posts for structural analysis (replaces inline agent-browser)
  • second-brain — the Content Ideas wiki page hoppers hooks, frameworks, stories; /jab-hook drafts pull candidates from there
  • deep-research — when a promo needs a stat or citation the draft doesn't have yet
  • marketingskills:social — generic social frameworks, useful when teaching strategy vs shipping your own posts
  • marketingskills:copywriting — for hook / headline ideation when stuck

Notes on quality

  • 1 promo per week per property is the floor, not the ceiling. Rotation compounds when it's predictable — 4 properties × 1 promo/week = 4 promo weeks/month. Educational + BIP + community fill the rest.
  • Never mimic phrasing from inspiration accounts. Extract structure (hook opener type, line-break rhythm, CTA style) and apply to your own voice. Voice is the moat; copying phrasing destroys it.
  • Links belong in first comments, not the body for LinkedIn + X. Documented in ~/.claude/memory/feedback_social_link_placement.md. Body posts with inline URLs get algorithm-suppressed on both platforms.
  • Draft state, not scheduled state. Every Typefully push defaults to draft — human review in the Typefully UI before publish is non-negotiable. Automated scheduling of unreviewed drafts has repeatedly produced posts the user regrets.
  • Reader-perspective framing. "You'll know X" not "we'll teach you X." "What you're guaranteed" not "what we'd guarantee."
  • Voice.local.md overrides the shipped voice.md. Personal voice rules never live in the public repo — always in ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/voice.local.md.
  • Cadence cap: 2 posts/day per platform, per account. More than that degrades reach + reads as spam.

Memory references

  • ~/.claude/memory/feedback_promo_voice.md (if present) — conviction-coded CTAs + reader-perspective framing
  • ~/.claude/memory/feedback_social_cadence.md (if present) — cadence cap (e.g., 2 posts/day per platform)

Installationen

Installationen278
Globales Ranking#201 von 201

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So verwenden Sie diesen Skill

1

Install jab-hook by running npx skills add coreyhaines31/makerskills --skill jab-hook in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für jab-hook, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.