adapto-content-plan

adapto-content-plan is a skill for Claude Code from adaptocms/adapto-cms-agent-skills. It costs 66 tokens per session (1,355 once invoked), scanned A, original, MIT.

A planning tool that turns research into a list of proposed content pieces and detailed briefs. It uses the project's topics, audience, writing style, search goals, and previous plans to shape the list.

In plain words
What is it for?
Use it after research to plan a content cycle, choose topics, write briefs, and track each piece before drafting.
Why use it?
It helps decide what to create next and avoids repeating content that is already planned or covered.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Autonomous-safe** ([studio.md](../../shared/studio.md) §4): local, no CMS writes — an autonomous cycle can.

Part of the adapto plugin — 16 skills, 3 agents, 1 hook shipped together

Good fit Use it after research to plan a content cycle, choose topics, write briefs, and track each piece before drafting.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/adaptocms/adapto-cms-agent-skills
agentmods
npx agentmods add skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan

Made for: Claude Code.

Or install adapto, the plugin that ships this one along with the rest of its 16 skills, 3 agents, 1 hook.

Wrote 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.

agentmods badge for adapto-content-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan/github.svg)](https://agentmods.dev/skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan)
Your own site
<a href="https://agentmods.dev/skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan"><img src="https://agentmods.dev/badge/skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan/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.

agentmods 80×15 button for adapto-content-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan"><img src="https://agentmods.dev/badge/skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,355 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.01355
Opus 5 $0.00033 $0.00678
Sonnet 5 $0.00013 $0.00271
Haiku 4.5 $0.00007 $0.00136

Measured 10d ago against content hash 06505015b44a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

adapto-content-plan 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 10d 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.

plugin/skills/adapto-content-plan/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

adapto:content-plan

The second pipeline step (content-pipeline.md). It reads the latest research dossier and the brain, proposes the top content directions for the cycle, works with you to pick and shape them, and writes a dated cycle plan of per-piece briefs — the spec the writer turns into drafts. It also writes the ledger rows that track each piece. No CMS writes.

Autonomous-safe (studio.md §4): local, no CMS writes — an autonomous cycle can run this unattended; the cycle parks at the human gate before adapto:content-upload.

When to use

  • "Plan this week's content", "what should we write — pick the slate", "turn the research into a plan".
  • After adapto:content-research has produced a dossier.

When not to use

  • Gathering the research itself → adapto:content-research.
  • Writing the drafts → adapto:content-create.
  • Creating the schema a brief needs → adapto:schema-design / adapto:schema-apply.

Inputs

  • The latest dossier(s) in .adapto/research/ (and their menu of opportunities).
  • The brain (pillars, audience, seo, voice) for fit + voice.
  • The ledger (.adapto/ledger.json) — to avoid re-proposing covered/planned pieces and to size the cycle against the cadence.md target (if set).

Outputs

  • A dated cycle plan .adapto/plans/<YYYY-MM-DD>-cycle.md: the chosen pieces, each as a brief (content-pipeline.md §3 — title, slug, type, target/secondary queries, intent, audience, angle, outline, internal links, AEO questions, meta intent, cornerstone, references), each anchored by its slug.
  • Ledger rows for each chosen piece (status: proposedbriefed; pillar, target_query, cycle).
  • Next step: adapto:content-create — write the briefed pieces. (Or adapto:schema-design first if a piece needs a new content type — the schema loop.)

Planning (propose → pick → brief)

  1. Synthesize the dossier + brain into a ranked top-N directions (default 10) for this cycle — each a one-line title + angle + the query/intent it targets + its pillar. Size to cadence.md if set.
  2. Present them as pickable options (conventions.md §10) and work with the user: keep/drop/reshape, add their own ideas, mark which (if any) are cornerstone (top-tier writing). Don't write full content — this is direction-setting.
  3. Schema check (the loop). For each pick, confirm its type exists: built-in article/page, or a custom collection present in .adapto/schema.json. If a pick needs a new collection (e.g. case studies), flag it and route to adapto:schema-designadapto:schema-apply before that piece can be created/uploaded.
  4. Write briefs — expand each kept direction into a full brief (content-pipeline.md §3) in the dated cycle plan, and add/refresh its ledger row. Then state the slate and point to adapto:content-create.

Read the full file on GitHub · 82 lines

Changes

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.

  1. 10d ago First seen · 82 lines · 66 tokens per session scan A 06505015b44a

Subscribe to this mod's changes

adapto-content-plan is a skill published in the GitHub repository adaptocms/adapto-cms-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 1,355 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

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