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Multi-source content creation, evidence-backed signal ideation, enrichment, bundling, and platform adaptation — the production layer of the AI content team
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/Farrice/mes-knowledge-base --skill kieran-flanagan-content-engine命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
The /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.
The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).
Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.
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| name | Kieran Flanagan - Content Engine |
| description | Multi-source content creation, evidence-backed signal ideation, enrichment, bundling, and platform adaptation — the production layer of the AI content team |
| version | 1.1 |
| format | completion-engine |
| workflows | 9 |
| routing | long-tail |
The creation and production layer of Kieran's AI content team architecture. These tools generate, enrich, adapt, and multiply content across platforms. They work standalone OR pair with Audience Intelligence for maximum impact.
| # | Workflow | Produces | Use When |
|---|---|---|---|
| 01 | Talking Points | Categorized talking point library extracted from source material | You need to mine a body of work (podcasts, articles, notes) for unique perspectives before creating content |
| 02 | Lookalike Content | Structural pattern analysis + 15-25 new content ideas | You want proven content architecture applied to your unique topics — battle-tested structures with original substance |
| 03 | Content Enrich | Enrichment modules (data, stories, quotes, case studies) for any draft | You have a draft that needs authority — statistics, case studies, expert quotes, and real-world connections |
| 04 | Content Bundle | Cross-platform content bundle from one core idea | You have one idea and want to publish it natively across LinkedIn, newsletter, X, and YouTube |
| 05 | Platform Adapt | Platform-optimized version of any content piece | You have finished content from one platform and want to adapt it for another with true platform-native transformation |
| 06 | Content Series Plan | Multi-part content series with threading and open loops | You want to plan a 5-7 part series that builds audience anticipation and compounds topic authority |
| 07 | Hook Formula Extract | Personal hook formula library from your best-performing content | You want to mine YOUR specific hook patterns so you can replicate what works for YOU, not generic formulas |
| 08 | Competitor Content Spy | Competitive content intelligence report with differentiation opportunities | You want to understand a competitor's content strategy and find gaps you can own |
| 09 | Content Signal Ideation | Proven, Trending, and Convergence idea cards | You need current ideas grounded in audience truth, creator-owned platform patterns, and dated external signals |
9 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.
skills/kieran-flanagan-content-engine/references/prompts-v2/competitor-content-spy-report.mdskills/kieran-flanagan-content-engine/references/prompts-v2/content-bundle.mdskills/kieran-flanagan-content-engine/references/prompts-v2/content-enrichment-pass.mdskills/kieran-flanagan-content-engine/references/prompts-v2/content-series-plan.mdskills/kieran-flanagan-content-engine/references/prompts-v2/content-signal-ideation.mdskills/kieran-flanagan-content-engine/references/prompts-v2/hook-formula-library.mdskills/kieran-flanagan-content-engine/references/prompts-v2/lookalike-content-report.mdskills/kieran-flanagan-content-engine/references/prompts-v2/platform-adapt.mdskills/kieran-flanagan-content-engine/references/prompts-v2/talking-points-library.md