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Writing & Content Workflows

Skill pack
10 skills0 selected
mattyreed1Skills in this pack

A protocol and toolkit for multi-agent collaboration. Agents post turns to a shared board, get each other's messages, challenge each other's work, and record the outcome as a permanent decision. Use when two or more agents (or an agent and a human) need genuine back-and-forth before producing an answer — "have agent X weigh in", "get a second agent to review this", "let the agents confer", "run this by the panel". Ships a zero-infra local backend and a Convex backend for real-time, multi-machine setups.

English

Stage 1-2 specialization of the Content Engine. Turns a REAL client engagement (a project folder + KG + meeting notes + metrics) into a structured case-study Content Context Brief — problem → before-state → system built → after-state → ONE quantified proprietary result → transferable lesson. This is the proof-of-work artifact at the center of the 2026 LinkedIn authority strategy (see projects/fractal-ai-content/2026-growth-strategy/). Use to turn a construction GC / a crypto OTC desk / a hospitality brand (or any client) into a publishable case study. Hook-agnostic — emits a brief that flows into content-hooks. Triggers — 'case study for', 'turn [client] into a case study', 'build the case study on', 'client teardown', 'content-case-study'.

English

Stage 3 of the Content Engine. Write title and 3 hook options for an approved content brief. Use when CO hands off an approved brief or you receive a 'Write Title + Hooks' task. Creates Discord thread in content, writes 3 hooks graded A-F against a 4-dimension rubric (psychology / framing / grammar / non-obvious) with reasoning and target emotion, posts for the user to pick or paste his own for a grade-and-rewrite.

English

Stage 1 of the Content Engine. Diverge then converge on a content seed — generate multiple distinct angles, evaluate them, narrow to one (or a few) winning concept(s). Does NOT write the full brief (that's content-brief). Use when the user has a topic / pain / observation / vague "we should post about X" and the angle is not yet locked.

English

Stage 6 of the Content Engine. Build lead magnet, create Tally email-capture form, update Notion landing page, and assemble the final post package with CTA link. CO handles infrastructure (GitHub repo, Tally form via API, landing page). CC assembles the final post text.

English

Stage 4 of the Content Engine. Write the full LinkedIn post from an approved hook. Runs an execute-evaluate loop (max 3 iterations), posts the draft in the Discord thread for the user review, handles up to 2 revision rounds.

English

Stage 5 of the Content Engine. Create visuals and diagrams for an approved LinkedIn post script. Use when the user approves the script or you receive a 'Create Visuals' task. Creates architecture diagrams, infographics, KG visualizations per brief specs.

English

Start navigation, get directions and route info via Google Maps app. Tools: intent, http (optional, requires Maps API key for traffic/route details).

English

Data-driven hook engine. Analyzes the owner's top vs. bottom-performing content to extract winning hook principles, banks them as a persistent grading rubric calibrated to the owner's audience, then generates and grades hooks for new topics. Source-agnostic ingestion (paste, CSV export from LinkedIn/X analytics, or fetch X posts via the scrape skill) with no third-party data platform required. Use when building or refreshing a hook rubric, analyzing why hooks win or lose, generating data-backed hooks for a topic, or grading and rewriting a draft hook. For a quick one-off hook that needs no performance data or grading, use the writing skill instead. Triggers - 'build my hook rubric', 'refresh the hook rubric', 'analyze my best hooks', 'hook machine', 'why do my hooks win', 'generate hooks for', 'grade this hook', 'rewrite this hook'.

English

Closed-loop social media infographic and carousel generator for Claude Code on the user's Mac. Renders HTML/CSS to PNG via Python Playwright (scripts/render.py), reads the PNG back, evaluates quality, and iterates until polished and publish-ready. Supports LinkedIn carousels, Instagram posts/stories, Twitter/X graphics, and infographics.

English

Includes Agent Collab, Content Case Study, Content Hooks, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills10CategorycontentStars0

What’s included

Agent Collab

A protocol and toolkit for multi-agent collaboration. Agents post turns to a shared board, get each other's messages, challenge each other's work, and record the outcome as a permanent decision. Use when two or more agents (or an agent and a human) need genuine back-and-forth before producing an answer — "have agent X weigh in", "get a second agent to review this", "let the agents confer", "run this by the panel". Ships a zero-infra local backend and a Convex backend for real-time, multi-machine setups.

Content Case Study

Stage 1-2 specialization of the Content Engine. Turns a REAL client engagement (a project folder + KG + meeting notes + metrics) into a structured case-study Content Context Brief — problem → before-state → system built → after-state → ONE quantified proprietary result → transferable lesson. This is the proof-of-work artifact at the center of the 2026 LinkedIn authority strategy (see projects/fractal-ai-content/2026-growth-strategy/). Use to turn a construction GC / a crypto OTC desk / a hospitality brand (or any client) into a publishable case study. Hook-agnostic — emits a brief that flows into content-hooks. Triggers — 'case study for', 'turn [client] into a case study', 'build the case study on', 'client teardown', 'content-case-study'.

Content Hooks

Stage 3 of the Content Engine. Write title and 3 hook options for an approved content brief. Use when CO hands off an approved brief or you receive a 'Write Title + Hooks' task. Creates Discord thread in content, writes 3 hooks graded A-F against a 4-dimension rubric (psychology / framing / grammar / non-obvious) with reasoning and target emotion, posts for the user to pick or paste his own for a grade-and-rewrite.

Content Ideation

Stage 1 of the Content Engine. Diverge then converge on a content seed — generate multiple distinct angles, evaluate them, narrow to one (or a few) winning concept(s). Does NOT write the full brief (that's content-brief). Use when the user has a topic / pain / observation / vague "we should post about X" and the angle is not yet locked.

Content Packaging

Stage 6 of the Content Engine. Build lead magnet, create Tally email-capture form, update Notion landing page, and assemble the final post package with CTA link. CO handles infrastructure (GitHub repo, Tally form via API, landing page). CC assembles the final post text.

Content Scripting

Stage 4 of the Content Engine. Write the full LinkedIn post from an approved hook. Runs an execute-evaluate loop (max 3 iterations), posts the draft in the Discord thread for the user review, handles up to 2 revision rounds.

Content Visuals

Stage 5 of the Content Engine. Create visuals and diagrams for an approved LinkedIn post script. Use when the user approves the script or you receive a 'Create Visuals' task. Creates architecture diagrams, infographics, KG visualizations per brief specs.

Google Maps

Start navigation, get directions and route info via Google Maps app. Tools: intent, http (optional, requires Maps API key for traffic/route details).

Hook Machine

Data-driven hook engine. Analyzes the owner's top vs. bottom-performing content to extract winning hook principles, banks them as a persistent grading rubric calibrated to the owner's audience, then generates and grades hooks for new topics. Source-agnostic ingestion (paste, CSV export from LinkedIn/X analytics, or fetch X posts via the scrape skill) with no third-party data platform required. Use when building or refreshing a hook rubric, analyzing why hooks win or lose, generating data-backed hooks for a topic, or grading and rewriting a draft hook. For a quick one-off hook that needs no performance data or grading, use the writing skill instead. Triggers - 'build my hook rubric', 'refresh the hook rubric', 'analyze my best hooks', 'hook machine', 'why do my hooks win', 'generate hooks for', 'grade this hook', 'rewrite this hook'.

Social Canvas

Closed-loop social media infographic and carousel generator for Claude Code on the user's Mac. Renders HTML/CSS to PNG via Python Playwright (scripts/render.py), reads the PNG back, evaluates quality, and iterates until polished and publish-ready. Supports LinkedIn carousels, Instagram posts/stories, Twitter/X graphics, and infographics. (the agent fleet agents run their own fork of this skill on the VPS — keep the two in sync via skill-translate, but THIS copy is Claude Code-native.)

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Agent Collab skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
Writing & Content Workflows | Agent Skills Atlas