affaan-m/ECC

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.

78Collecting
See how to use itView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "skills/content-engine"
Automated source guide

Source checked Jul 28, 2026·Refresh due Oct 26, 2026

Reorganized from the pinned upstream SKILL.md

Turn content-engine's source instructions into a guide you can follow

According to the pinned SKILL.md from affaan-m/ECC: Build platform-native content without flattening the author's real voice into platform slop.

npx skills add https://github.com/affaan-m/ECC --skill "skills/content-engine"
Check the pinned source

Best fit

  • Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
  • 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.

Bring this context

  • A concrete task that matches the documented purpose of content-engine.
  • The files, examples, or context the task depends on.
  • Your constraints, target environment, and definition of done.

Expected outputs

  • a short voice profile if voice matching matters
  • the core angle
  • platform-native drafts

Key source sections

Read content-engine through these 5 source sections

Sections are extracted automatically from the pinned SKILL.md and link back to the source.

01

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

SKILL.md · Source-First Workflow
published articlesnotes or internal memosproduct demos
02

When to Activate

writing X posts or threads

SKILL.md · When to Activate
writing X posts or threadsdrafting LinkedIn posts or launch updatesscripting short-form video or YouTube explainers
03

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.

SKILL.md · Non-Negotiables
Start from source material, not generic post formulas.Adapt the format for the platform, not the persona.One post should carry one actual claim.
04

Voice Handling

brand-voice is the canonical voice layer.

SKILL.md · Voice Handling
there are multiple downstream outputsthe user explicitly cares about writing stylethe content is launch, outreach, or reputation-sensitive
05

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…

SKILL.md · Hard Bans
"In today's rapidly evolving landscape""game-changer", "revolutionary", "cutting-edge""here's why this matters" unless it is followed immediately by something concrete

SkillSignal prompt templates

Provide the task, context, and acceptance criteria

These prompts were written by SkillSignal from the source structure; they are not upstream text.

Task-start prompt

Confirm source fit, inputs, and outputs before acting.

Use content-engine to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.

Source-guided execution

Make the Agent explicitly follow the key extracted sections.

Apply the pinned content-engine source to [task]. Pay particular attention to these source sections: “Source-First Workflow”, “When to Activate”, “Non-Negotiables”, “Voice Handling”, “Hard Bans”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].

Result-review prompt

Check omissions, permissions, and source drift before delivery.

Review the current content-engine result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.

Output checklist

Verify each item before delivery

The task matches the purpose documented in the SKILL.md.

The source section “Source-First Workflow” has been checked.

The source section “When to Activate” has been checked.

The source section “Non-Negotiables” has been checked.

The source section “Voice Handling” has been checked.

Inputs, constraints, and acceptance criteria are explicit.

Unverified facts, compatibility, and outcome claims are clearly marked.

Any file, command, network, or data action has been reviewed.

Choose a different workflow

When another Skill is the better fit

FAQ

What does content-engine do?

Build platform-native content without flattening the author's real voice into platform slop.

How do I start using content-engine?

The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "skills/content-engine". Inspect the command and pinned source before running it.

Which Agent platforms does it declare?

No dedicated Agent platform is declared in the pinned source record.

Repository stars
234,327
Repository forks
35,711
Quality
78/100
Source repository last pushed

Quality breakdown

Based on traceable docs and repository signals; stars are not treated as quality.

78/100
Documentation24/30
Specificity17/25
Maintenance20/20
Trust signals17/25

Compare before choosing

Related Agent Skills and source variants

These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.

content-engine by affaan-m

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.

content-engine by affaan-m

X、LinkedIn、TikTok、YouTube、ニュースレター、マルチプラットフォームキャンペーンのプラットフォームネイティブなコンテンツシステムを作成します。ソーシャル投稿、スレッド、スクリプト、コンテンツカレンダー、または1つのソースアセットを複数プラットフォームにきれいに適応したい場合に使用します。

content-engine by affaan-m

为X、LinkedIn、TikTok、YouTube、新闻通讯和跨平台重新利用的多平台活动创建平台原生内容系统。适用于当用户需要社交媒体帖子、帖子串、脚本、内容日历,或一个源资产在多个平台上清晰适配时。

design-review by event4u-app

Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.

dask by k-dense-ai

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 3 min

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
Source repo
affaan-m/ECC
Skill path
skills/content-engine/SKILL.md
Commit SHA
4e973d3eaf92
Repository license
MIT
Data collected