/content-engine
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
$ npx -y skills add affaan-m/ECC --skill content-engine --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/content-engine
Context preview
The summary Claude sees to decide when to auto-load this skill.
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
SKILL.md
content-engine.SKILL.mdname: content-engine
description: Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
metadata:
origin: ECC
Content Engine
Build platform-native content without flattening the author's real voice into platform slop.
When to Activate
- writing X posts or threads
- drafting LinkedIn posts or launch updates
- scripting short-form video or YouTube explainers
- repurposing articles, podcasts, demos, docs, or internal notes into public content
- building a launch sequence or ongoing content system around a product, insight, or narrative
Non-Negotiables
1. Start from source material, not generic post formulas. 2. Adapt the format for the platform, not the persona. 3. One post should carry one actual claim. 4. Specificity beats adjectives. 5. No engagement bait unless the user explicitly asks for it.
Source-First Workflow
Before drafting, identify the source set:
- published articles
- notes or internal memos
- product demos
- docs or changelogs
- transcripts
- screenshots
- prior posts from the same author
If the user wants a specific voice, build a voice profile from real examples before writing. Use `brand-voice` as the canonical workflow when voice consistency matters across more than one output.
Voice Handling
`brand-voice` is the canonical voice layer.
Run it first when:
- there are multiple downstream outputs
- the user explicitly cares about writing style
- the content is launch, outreach, or reputation-sensitive
Reuse the resulting `VOICE PROFILE` here instead of rebuilding a second voice model. If the user wants Affaan / ECC voice specifically, still treat `brand-voice` as the source of truth and feed it the best live or source-derived material available.
Hard Bans
Delete and rewrite any of these:
- "In today's rapidly evolving landscape"
- "game-changer", "revolutionary", "cutting-edge"
- "here's why this matters" unless it is followed immediately by something concrete
- ending with a LinkedIn-style question just to farm replies
- forced casualness on LinkedIn
- fake engagement padding that was not present in the source material
Platform Adaptation Rules
X
- open with the strongest claim, artifact, or tension
- keep the compression if the source voice is compressed
- if writing a thread, each post must advance the argument
- do not pad with context the audience does not need
LinkedIn
- expand only enough for people outside the immediate niche to follow
- do not turn it into a fake lesson post unless the source material actually is reflective
- no corporate inspiration cadence
- no praise-stacking, no "journey" filler
Short Video
- script around the visual sequence and proof points
- first seconds should show the result, problem, or punch
- do not write narration that sounds better on paper than on screen
YouTube
- show the result or tension early
- organize by argument or progression, not filler sections
- use chaptering only when it helps clarity
Newsletter
- open with the point, conflict, or artifact
- do not spend the first paragraph warming up
- every section needs to add something new
Repurposing Flow
1. Pick the anchor asset. 2. Extract 3 to 7 atomic claims or scenes. 3. Rank them by sharpness, novelty, and proof. 4. Assign one strong idea per output. 5. Adapt structure for each platform. 6. Strip platform-shaped filler. 7. Run the quality gate.
Deliverables
When asked for a campaign, return:
- a short voice profile if voice matching matters
- the core angle
- platform-native drafts
- posting order only if it helps execution
- gaps that must be filled before publishing
Quality Gate
Before delivering:
- every draft sounds like the intended author, not the platform stereotype
- every draft contains a real claim, proof point, or concrete observation
- no generic hype language remains
- no fake engagement bait remains
- no duplicated copy across platforms unless requested
- any CTA is earned and user-approved
Related Skills
- `brand-voice` for source-derived voice profiles
- `crosspost` for platform-specific distribution
- `x-api` for sourcing recent posts and publishing approved X output
Read more
name: content-engine description: Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms. metadata: origin: ECC
Content Engine
Build platform-native content without flattening the author's real voice into platform slop.
When to Activate
- writing X posts or threads
- drafting LinkedIn posts or launch updates
- scripting short-form video or YouTube explainers
- repurposing articles, podcasts, demos, docs, or internal notes into public content
- building a launch sequence or ongoing content system around a product, insight, or narrative
Non-Negotiables
1. Start from source material, not generic post formulas. 2. Adapt the format for the platform, not the persona. 3. One post should carry one actual claim. 4. Specificity beats adjectives. 5. No engagement bait unless the user explicitly asks for it.
Source-First Workflow
Before drafting, identify the source set:
- published articles
- notes or internal memos
- product demos
- docs or changelogs
- transcripts
- screenshots
- prior posts from the same author
If the user wants a specific voice, build a voice profile from real examples before writing. Use `brand-voice` as the canonical workflow when voice consistency matters across more than one output.
Voice Handling
`brand-voice` is the canonical voice layer.
Run it first when:
- there are multiple downstream outputs
- the user explicitly cares about writing style
- the content is launch, outreach, or reputation-sensitive
Reuse the resulting `VOICE PROFILE` here instead of rebuilding a second voice model. If the user wants Affaan / ECC voice specifically, still treat `brand-voice` as the source of truth and feed it the best live or source-derived material available.
Hard Bans
Delete and rewrite any of these:
- "In today's rapidly evolving landscape"
- "game-changer", "revolutionary", "cutting-edge"
- "here's why this matters" unless it is followed immediately by something concrete
- ending with a LinkedIn-style question just to farm replies
- forced casualness on LinkedIn
- fake engagement padding that was not present in the source material
Platform Adaptation Rules
X
- open with the strongest claim, artifact, or tension
- keep the compression if the source voice is compressed
- if writing a thread, each post must advance the argument
- do not pad with context the audience does not need
- expand only enough for people outside the immediate niche to follow
- do not turn it into a fake lesson post unless the source material actually is reflective
- no corporate inspiration cadence
- no praise-stacking, no "journey" filler
Short Video
- script around the visual sequence and proof points
- first seconds should show the result, problem, or punch
- do not write narration that sounds better on paper than on screen
YouTube
- show the result or tension early
- organize by argument or progression, not filler sections
- use chaptering only when it helps clarity
Newsletter
- open with the point, conflict, or artifact
- do not spend the first paragraph warming up
- every section needs to add something new
Repurposing Flow
1. Pick the anchor asset. 2. Extract 3 to 7 atomic claims or scenes. 3. Rank them by sharpness, novelty, and proof. 4. Assign one strong idea per output. 5. Adapt structure for each platform. 6. Strip platform-shaped filler. 7. Run the quality gate.
Deliverables
When asked for a campaign, return:
- a short voice profile if voice matching matters
- the core angle
- platform-native drafts
- posting order only if it helps execution
- gaps that must be filled before publishing
Quality Gate
Before delivering:
- every draft sounds like the intended author, not the platform stereotype
- every draft contains a real claim, proof point, or concrete observation
- no generic hype language remains
- no fake engagement bait remains
- no duplicated copy across platforms unless requested
- any CTA is earned and user-approved
Related Skills
- `brand-voice` for source-derived voice profiles
- `crosspost` for platform-specific distribution
- `x-api` for sourcing recent posts and publishing approved X output
Your agent can write code, but ECC gives it a coordinated engineering system and toolbox: it plans before it builds, verifies changes with tests, reviews its own work from a fresh context, remembers what matters, and turns repeated wins into reusable skills
Repo: affaan-m/ECC
Other skills on ecc.
- /everything-claude-code
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Open skill - /accessibility
Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA
Open skill - /agent-architecture-audit
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for
Open skill - /agent-eval
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Open skill - /agent-harness-construction
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
Open skill - /agent-introspection-debugging
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
Open skill

