Borrowing it
Nothing to install: this file belongs to jacob-dietle/context-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jacob-dietle/context-os/main/.claude/skills/content-strategy-and-assembly/SKILL.mdgit clone --depth 1 https://github.com/jacob-dietle/context-osWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jacob-dietle/context-os/content-strategy-and-assembly)<a href="https://agentmods.dev/skills/jacob-dietle/context-os/content-strategy-and-assembly"><img src="https://agentmods.dev/badge/skills/jacob-dietle/context-os/content-strategy-and-assembly/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jacob-dietle/context-os/content-strategy-and-assembly"><img src="https://agentmods.dev/badge/skills/jacob-dietle/context-os/content-strategy-and-assembly.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.02955 |
| Opus 5.5 | $0.00036 | $0.01182 |
| Sonnet 5.5 | $0.00018 | $0.00591 |
| Haiku 4.5 | $0.00009 | $0.00296 |
Grade A, and why
content-strategy-and-assembly scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Strategy and Assembly
Methodology for producing content by discovering what already exists in the corpus, assembling it against a content-type spec, and iterating through anti-slop quality gates until the output reads like a human wrote it.
Core philosophy: The author's taste is primary. This skill handles the grunt work of discovery, assembly, and slop removal. The author edits for voice, judgment, and the things only they can add.
When to Use This Skill
Apply this skill when:
- Producing a newsletter post, blog post, or LinkedIn post from existing corpus material
- Filling in an outline the author has already created
- Turning raw notes, transcripts, or KB nodes into publishable content
- Assembling content from multiple sources that need to be synthesized
Do NOT use for:
- Writing from scratch with no existing material (write raw thought first)
- Technical documentation (use
technical-business-writing) - Sales copy or landing pages (use
copywriting-masters) - Content editing only, no assembly (use a dedicated content-editing skill)
- One-shot generation (this skill is explicitly multi-step)
Core Principles
1. Never One-Shot
Content generation is a multi-step process. One-shotting produces the worst possible output because the model has to predict tokens for structure, evidence, transitions, and tone simultaneously.
Pattern: Discover → Select → Spec → Assemble → Validate → Refine
Each step narrows the problem space for the next. By the time assembly happens, the model knows exactly what to write, what evidence to use, and what structure to follow.
2. Voice Floor, Not Voice Ceiling
This skill does not try to perfectly replicate the author's voice. That is impossible and attempting it produces uncanny-valley slop.
Instead, enforce a floor: the output must NOT read like AI wrote it. The author's edits add the rest.
The distinction:
- Ceiling approach: "Write like the author" → produces mimicry slop
- Floor approach: "Don't write like an AI" → produces clean prose the author can work with
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 326 lines · 91 tokens per session scan A d22cb2cca246
content-strategy-and-assembly is a skill published in the GitHub repository jacob-dietle/context-os (115 stars, last pushed 2mo ago), licensed MIT. It adds 91 tokens to every session and 2,955 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
content-strategy-and-assembly compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| content-strategy-and-assemblyjacob-dietle/context-os | Skill | 115 | 2mo ago | MIT | A | 91 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |