
jab-hook
Gary Vaynerchuk's jab-jab-jab-right-hook framework applied to a personal portfolio rotation on X and LinkedIn. Jabs = build-in-public + educational (value). Hooks = promo (the ask). Each property in the user's configured portfolio (see /.config/makerskills/jab-hook/properties.yaml) gets a hook at least once every 3 weeks; jabs fill the rest. Drafts go into the user's Typefully workspace via MCP. Modes — plan (7-day plan), pick-next (single post), audit (coverage report), draft (specific post). Triggers on "/jab-hook," "what should I post," "plan my socials," "next promo," "next jab," "next hook," "social rotation," "promote [property]," "BIP post," "audit my socials," "what haven't I posted about."
- Installs
- 347
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/coreyhaines31/makerskills --skill jab-hook- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads jab-hook automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
/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
- Read
references/properties.md— the 6 rotation slots and angle ideas - Read
references/voice.md— the user's voice rules per platform - Read
references/content-types.md— templates for promo / BIP / educational - Pull recent posts from your personal Typefully workspace:
- First run: call the Typefully MCP server's list-social-sets tool and ask which social set is your personal (X + LinkedIn). Save the ID to
${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/typefully.yamlfor future runs (schema inreferences/typefully-config.example.yaml— never save it inside the skill folder; upgrades wipe it). - Call its list-drafts tool, filtered to the last 30 days
- Classify each as promo / BIP / educational by content
- First run: call the Typefully MCP server's list-social-sets tool and ask which social set is your personal (X + LinkedIn). Save the ID to
- 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:
- Pick 1–2 accounts whose audience overlaps with the property
- Pull recent posts (agent-browser if it works on LinkedIn; otherwise ask the user to paste examples or fall back to their X/newsletter)
- Extract structural patterns: hook openers, post length, line-break rhythm, CTA styles
- Apply ONE pattern to the user's voice — never mimic phrasing
- Log new patterns in
${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/patterns.local.md(create if missing) so they accumulate —references/patterns.mddocuments 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:
- Read social set ID from
${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/typefully.yaml(setup notes inreferences/typefully-config.md) - Call the Typefully create-draft tool once for X, once for LinkedIn (or once with both platforms if the social set spans both)
- 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.
- Default to draft state (not scheduled) — the user reviews in Typefully UI before sending
- Return the Typefully draft URLs
Composes with
paste— clean output for pasting into Typefully / LinkedIn / X manually if the MCP path doesn't fitsocial-fetch— pull inspiration-account posts for structural analysis (replaces inline agent-browser)second-brain— theContent Ideaswiki page hoppers hooks, frameworks, stories;/jab-hookdrafts pull candidates from theredeep-research— when a promo needs a stat or citation the draft doesn't have yetmarketingskills:social— generic social frameworks, useful when teaching strategy vs shipping your own postsmarketingskills: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
feedback_social_link_placement.mdin your memory store (see below). 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
Your memory store is your agent's persistent memory if it has one (Claude Code's memory directory, for example), otherwise ${MAKERSKILLS_MEMORY:-${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/memory}/.
feedback_promo_voice.mdin your memory store (if present) — conviction-coded CTAs + reader-perspective framingfeedback_social_cadence.mdin your memory store (if present) — cadence cap (e.g., 2 posts/day per platform)
FAQ
What does the jab-hook skill do?
Gary Vaynerchuk's jab-jab-jab-right-hook framework applied to a personal portfolio rotation on X and LinkedIn. Jabs = build-in-public + educational (value). Hooks = promo (the ask). Each property in the user's configured portfolio (see /.config/makerskills/jab-hook/properties.yaml) gets a hook at least once every 3 weeks; jabs fill the rest. Drafts go into the user's Typefully workspace via MCP. Modes — plan (7-day plan), pick-next (single post), audit (coverage report), draft (specific post). Triggers on "/jab-hook," "what should I post," "plan my socials," "next promo," "next jab," "next hook," "social rotation," "promote [property]," "BIP post," "audit my socials," "what haven't I posted about."
How do I install jab-hook?
Run npx skills add https://github.com/coreyhaines31/makerskills --skill jab-hook in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/jab-hook/ (personal) or .claude/skills/jab-hook/ (project).
Which AI agents can use jab-hook?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is jab-hook safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains jab-hook?
It is published by coreyhaines31 in coreyhaines31/makerskills. It has 347 recorded installs.
More from coreyhaines31/makerskills
watch-video
coreyhaines31/makerskills
When you want to extract content from a video — YouTube, Loom, Vimeo, Riverside, Zoom recording, local MP4, X/IG video, anything yt-dlp supports. Three depth modes user picks per invocation — transcript (just words, fast/free), visual (transcript + ffmpeg frame extraction + Claude vision pass on key moments), multimodal (Gemini native video ingestion if $GEMINIAPIKEY set, else dense Claude vision). Uses local Whisper for transcription (MLX-Whisper on Apple Silicon, faster-whisper elsewhere), falls back to platform-provided transcripts when available (Loom, Riverside, YouTube auto-subs). Saves to /Documents/videos/ - - / and optionally captures summary to second-brain raw/ as call-/meeting-/note-. Triggers on "/watch-video ," "watch this video," "transcribe this loom," "analyze this video," "summarize this recording," "key moments from this," "what happened in this video." For a post's text and engagement, use social-fetch.
decide
coreyhaines31/makerskills
When you have a decision to make and want a structured workflow that picks the load-bearing questions, walks through them, reaches a call (or "wait"), and archives the rationale for future reference. Based on the 37signals Guide to Making Decisions (38 questions) plus house additions like Q39 opportunity cost ("what does saying yes displace?"). Triages to 6–8 relevant questions per decision instead of forcing the full set. Archives every decision to /.config/makerskills/decide/archive/ with a revisit date so you can check later whether the call was right. Triggers on "/decide," "help me decide," "should I [X]," "I need to make a decision about," "stuck on a decision," "deciding between," "go/no-go on," "what should I do about." This is both the decision-making workflow AND the decision log — making the decision is the act of logging it.
social-fetch
coreyhaines31/makerskills
When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, postedat, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on "/social-fetch ," "fetch this tweet," "fetch this post," "what does this LinkedIn say," "read this thread," "pull this post." For what's said inside a video, use watch-video. Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary).
read-book
coreyhaines31/makerskills
When you want to read and extract structured notes from a book — PDF, EPUB, MOBI, markdown, .txt, pasted text, or URL to a public-domain work. Reads in chunks (by chapter when a TOC exists, by 50-page blocks otherwise), extracts per-chapter TL;DR + key concepts + quotes + action items + frameworks, and offers to capture to second-brain raw/ as a highlights- file. Four modes — notes (default, chapter-by-chapter), summary (whole-book TL;DR + 3–5 takeaways), quotes (pull-quote highlights only), study (notes + Q&A spaced-rep prep). Triggers on "/read-book," "read this book," "extract notes from this PDF," "what's in this book," "summarize this ebook," "pull quotes from this." Sibling to watch-video (same content-consumption pattern, different medium).
business-brainstorm
coreyhaines31/makerskills
When you want to pressure-test a potential new business, product, or side project against the serial-founder filter. Not "marketing ideas for a product" (that's marketing-skills:marketing-ideas) — this is "should this business exist + can you win it." Runs the idea through a structured framework (problem, audience, wedge, monetization, moat, portfolio fit, distribution, energy fit, opportunity cost), checks domain availability via /domain, optionally triggers /deep-research for market validation, and outputs a viability brief: build / sleep on it / pass. Archives every idea to /.config/makerskills/business-brainstorm/archive/ so past work is searchable. Triggers on "/business-brainstorm," "/brainstorm," "new business idea," "should I build X," "pressure test this idea," "validate this idea," "is X a good business," "what about a [type] for [audience]."
company-brain
coreyhaines31/makerskills
Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so an agent can answer on your team's behalf. Team-scope sibling to second-brain — personal notes go there, not here. Modes — capture, compile (wiki pages + INDEX.md), query (trust-weighted, saved to outputs/), review (verify / deprecate / supersede stale captures), lint, connect, search. Structured raw dirs (people/, companies/, meetings/, sops/, decisions/, customer-language/, sales-objections/). Every capture stamps author, timestamp, and trust status. Optional sync from call transcripts, Slack/email exports, CRM. Vault at ${COMPANYBRAINVAULT:-$HOME/Documents/CompanyBrain}/. Triggers on "/company-brain," "/cb," "capture this into the team brain," "log this meeting," "save this SOP," "compile the company wiki," "query the team brain," "what does the team know about X," "review the company brain," "lint the company brain," "who's the internal expert on X."
Popular code quality & workflow skills
grill-me
mattpocock/skills
A relentless interview to sharpen a plan or design.
improve-codebase-architecture
mattpocock/skills
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
handoff
mattpocock/skills
Compact the current conversation into a handoff document for another agent to pick up.
domain-modeling
mattpocock/skills
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.
codebase-design
mattpocock/skills
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.