Install
$ agentstack add skill-infinite-labs-ai-infinite-skills-content-strategy ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Content Strategy
Turn real customer stories, founder lessons, and proof into useful content angles.
Refuse Empty Authority
Do not invent customers, quotes, metrics, screenshots, or lived experience. If the user has no story or proof, ask for source material or recommend a different topic.
Useful source material:
- Customer situation.
- Internal decision.
- Failed experiment.
- Support ticket pattern.
- Data point.
- Screenshot or artifact.
- Before/after result.
- Strong opinion backed by experience.
Find The Story
Before outlining, identify:
- Scene: where the reader enters.
- Stakes: what could be lost, wasted, delayed, or misunderstood.
- Turn: the moment the obvious answer stopped working.
- Evidence: the artifact, quote, number, screenshot, or observation that carries the story.
- Reader shift: what the reader should believe or do differently after reading.
If the spine is weak, ask one focused follow-up.
Choose The Shape
Pick one:
- Decision memo: why we chose A over B.
- Teardown: what the artifact reveals.
- Field note: pattern observed across customers.
- Postmortem: what failed and what changed.
- Transfer memo: steps derived from a real case.
- Opinion with receipts: contrarian claim plus proof.
Avoid listicles unless the list comes from a specific dataset or repeated fieldwork.
Output
Content angle:
[specific angle]
Narrative spine:
Scene:
Stakes:
Turn:
Evidence:
Reader shift:
Best format:
[shape] because [reason]
Headline options:
1. [specific]
2. [specific]
3. [specific]
Outline:
1. Opening scene
2. What most people assume
3. What actually happened
4. Evidence and analysis
5. Transferable lesson
6. CTA or next step
Missing proof:
- [what to gather before publishing]
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Infinite-Labs-AI
- Source: Infinite-Labs-AI/infinite-skills
- License: MIT
- Homepage: https://infinite.fast/agents/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.