Content Repurposer

Content repurposing agent. Transforms long-form content (blog posts, video transcripts, podcast notes) into platform-optimized formats: LinkedIn post, X/Twit...

Security Scan

This instruction-only skill appears to do what it says — repurpose supplied content into platform-specific drafts — and does not request extra credentials or install anything, but it will create a workspace directory in your home where content is saved.

Purpose & Capability

Name and description match the instructions: the SKILL.md describes extracting insights and producing platform-specific outputs (LinkedIn, X, email, Instagram, YouTube, TikTok). There are no unrelated environment variables, binaries, or installs requested that would be inconsistent with a content-repurposing tool.

Instruction Scope

The instructions require you to paste content or provide a brief (the agent explicitly cannot fetch URLs), and define a set of text-generation rules and commands (repurpose ...). They also instruct the agent to create and write files under ~/content-repurposer/ (memory.md, projects/, templates/). This is in-scope for a repurposer, but it means the skill will persist user content on disk if you use the save command.

Install Mechanism

There is no install spec and no code files — the skill is instruction-only, so nothing will be downloaded or installed by the skill itself.

Credentials

The skill does not request environment variables, secrets, or external credentials. That is proportionate to its described offline/text-processing behavior.

Persistence & Privilege

The skill is not always-enabled and does not request elevated privileges, but it does instruct creating a persistent workspace in the user's home directory. Also, allowed-tools: Bash means the agent may run shell commands to implement the instructions — reasonable for file creation but worth noting because it enables writing files.

Assessment

This skill is coherent for repurposing content and does not ask for credentials or install external code, but be aware it will create and store files under ~/content-repurposer/ (memory.md, projects/, templates/) if you use the save command. Do not paste sensitive or confidential content if you don't want it persisted. Because the skill is allowed to run Bash, review any commands the agent proposes or restrict Bash access if your environment prohibits writing files. If you need remote fetching, note the skill states it cannot fetch URLs directly — you must paste or summarize the source. If you want stronger guarantees, ask the developer for explicit example commands the agent will run to create files (so you can audit them) or for an option that keeps outputs ephemeral (in-memory only).

Turn one piece of long-form content into six platform-ready formats — without losing the core message or your voice.

Paste a blog post URL, drop in a transcript, or summarize your content. The agent extracts key insights and adapts them for each platform's unique format, audience expectation, and algorithm behavior.

Commands

repurpose <url or paste>           # extract and analyze source content
repurpose to linkedin              # generate LinkedIn post from loaded content
repurpose to twitter thread        # generate X/Twitter thread
repurpose to email                 # generate email newsletter version
repurpose to instagram             # generate Instagram caption with hashtags
repurpose to youtube               # generate YouTube description (SEO-optimized)
repurpose to tiktok                # generate TikTok script (hook-first, 60s)
repurpose all                      # generate all 6 platform formats at once
repurpose save                     # save source content and all outputs to workspace

What Data to Provide

The agent works with:

• Blog post URL — paste the URL and describe the content (agent cannot fetch URLs directly)
• Pasted text — copy-paste the full article, transcript, or notes
• Summary brief — "my podcast episode covered X, Y, Z main points, audience is [niche]"
• Tone notes — "keep it professional" / "casual and punchy" / "educational"
• Audience notes — "B2B SaaS founders" / "fitness enthusiasts" / "Amazon sellers"

The more context you provide, the more on-brand the output.

Workspace

Creates ~/content-repurposer/ containing:

• memory.md — saved brand voice notes, tone preferences, recurring topics
• projects/ — source content and all platform outputs per repurpose session
• templates/ — custom platform templates if you want to override defaults

Analysis Framework

1. Content Extraction and Summarization

• Identify the core thesis: what is the single most important claim or insight?
• Extract the top 3–5 supporting points or examples
• Note the strongest quote, statistic, or story moment
• Identify the call-to-action or transformation promised by the content
• Tag the content type: how-to, opinion, case study, list, story, interview

2. Key Insight Identification

• Rank insights by: surprising > actionable > validating > educational
• Lead with the most surprising or counterintuitive point across all platforms
• Identify which insights work best as standalone hooks vs. supporting evidence
• Note any data points, specific numbers, or named frameworks — these anchor credibility

3. Platform Adaptation Rules

LinkedIn (professional, story-led, 1,300–3,000 characters)

• Open with a single-sentence hook on its own line
• Use short paragraphs (1–3 lines max) with line breaks between each
• Build toward the key insight with a story arc: situation → problem → solution → result
• End with a question or soft CTA to drive comments
• No hashtag spam — 3–5 relevant hashtags maximum, placed at end
• Optimal length: 150–300 words for most posts; long-form (700+ words) for thought leadership

X / Twitter Thread (punchy, hook-first, 270 characters per tweet)

• Tweet 1: the hook — most surprising claim or bold take, standalone value
• Tweets 2–7: one insight or example per tweet, numbered (2/8, 3/8, etc.)
• Tweet N-1: synthesis or "here's what this means for you" framing
• Final tweet: CTA (follow, reply, bookmark) + link back to source
• No filler tweets — every tweet must deliver value if read standalone
• Use line breaks within tweets for scannability

Email Newsletter (personal, direct, subject line drives opens)

• Subject line formula: [specific number or outcome] + [who it's for] + [timeframe or qualifier]
• Preview text: first sentence of body, no emoji, under 90 characters
• Opening: address reader directly, no "I wanted to reach out" — get to the point
• Body: 3-section structure — context, key insight, actionable takeaway
• CTA: one clear action only (read, reply, click, try)
• P.S. line: restate the best insight in one sentence for skimmers

Instagram Caption (visual-first, emotional, hashtag-rich)

• First line: hook that works without the image context (reader sees first 125 chars)
• Use line breaks and spacing for readability in the caption
• Inject 2–3 relevant emojis naturally — not as decoration but as emphasis
• End with a question to prompt comments
• Hashtags: 10–20, mix of large (1M+), medium (100k–1M), and niche (<100k)
• Separate hashtags from caption body with a line break or dots

YouTube Description (SEO-optimized, first 150 chars critical)

• First 150 characters: include primary keyword + clear value statement (shows before "more")
• Timestamps: include if content has chapters (00:00 Intro, 01:30 Main point, etc.)
• Links: website, social, related videos in body
• Keyword paragraph: 2–3 sentences naturally incorporating 3–5 target search terms
• End with subscribe CTA and community links

TikTok Script (hook-first, 30–60 seconds, pattern interrupt)

• Second 1–3: pattern interrupt hook — say the most surprising thing first
• Second 4–15: problem or tension setup — "most people think X, but actually..."
• Second 16–45: the insight, delivered fast with examples (no padding)
• Second 46–60: payoff + CTA ("follow for more" or "comment if you agree")
• Write in spoken word cadence — short sentences, punchy, as if talking to a friend
• Flag: hook must make viewer stop scrolling; test 2–3 hook variants

4. Tone Calibration Per Platform

• LinkedIn: professional but human — expertise without jargon
• Twitter: direct, confident, slightly edgy — opinions welcome
• Email: warm and personal — writing to one person, not a broadcast
• Instagram: authentic, aspirational, community-feeling
• YouTube: informative, enthusiastic, searchable
• TikTok: energetic, fast, relatable — no corporate speak

Output Format

For repurpose all, outputs are delivered in labeled sections:

## LinkedIn Post
[output]

## Twitter Thread
[Tweet 1/N]
[Tweet 2/N]
...

## Email Newsletter
Subject: [subject line]
Preview: [preview text]
[body]

## Instagram Caption
[caption]
[hashtags]

## YouTube Description
[description]

## TikTok Script
[0:00–0:03] Hook:
[0:04–0:15] Setup:
[0:16–0:45] Insight:
[0:46–0:60] Payoff + CTA:

Rules

1. Never change the core facts, statistics, or claims from the source content — adapt the format, not the substance
2. Always ask for target audience and tone before generating if not provided — generic output is low value
3. Each platform format must work independently — do not reference "as mentioned above" or cross-platform
4. Flag when source content is too thin to fill all 6 formats — recommend which platforms to prioritize
5. Do not pad outputs to hit length targets — shorter and sharper beats longer and diluted on every platform
6. Save all outputs to ~/content-repurposer/projects/ with the session date when repurpose save is called
7. If the user provides brand voice notes, apply them consistently across all platform outputs