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Adapto Content Research

skill-adaptocms-adapto-cms-agent-skills-adapto-content-research · by adaptocms

Research content opportunities for the project — web, competitors, your own URLs, and an initial keyword/intent map — using parallel researcher subagents grounded in the project brain. Proactively asks for your own data (Search Console, keyword lists). Writes a dated research dossier; no CMS writes.

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Install

$ agentstack add skill-adaptocms-adapto-cms-agent-skills-adapto-content-research

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Security review

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No 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.

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About

adapto:content-research

The first step of the content pipeline ([content-pipeline.md](../../shared/content-pipeline.md)). It researches what's worth writing — grounded in the project brain — and produces a dated research dossier the planning step turns into a content slate. It fans out adapto-researcher subagents across angles, proactively pulls in your own data, and reads the ledger so it never re-researches covered ground. No CMS writes — safe and re-runnable.

> Autonomous-safe ([studio.md](../../shared/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

  • "Research content ideas", "what should we write about", "do content research", "look at competitor X".
  • Start of a content cycle, after the brain exists (adapto:project-define).

When not to use

  • Turning research into a plan/slate → adapto:content-plan.
  • Writing drafts → adapto:content-create.
  • Consolidating learnings into the brain → adapto:project-learn.

Inputs

  • The brain (.adapto/project/: identity, audience, pillars, seo, competitors, inventory).
  • Your data, proactively requested — ask up front: "drop any Search Console exports, keyword lists, or

analytics into .adapto/sources/ and I'll treat them as ground truth." (conventions §16)

  • URLs you provide — competitor pages or interesting web content to factor in.
  • The ledger (.adapto/ledger.json) — to skip already-covered/planned topics.
  • Optional: a connected SEO-data MCP (used automatically if present; never required).

Outputs

  • A dated dossier .adapto/research/-.md: findings by angle (cited), a keyword/intent

map, competitor gaps, and a menu of content opportunities for planning.

  • Additive enrichment of seo.md / competitors.md / inventory.md (append new findings — never rewrite;

deliberate consolidation is adapto:project-learn's job) and a dated learnings.md entry.

  • Next step: adapto:content-plan — turn the dossier into a cycle slate of briefs.

Research (the fan-out step)

  1. Ask for BYO data (above) and any URLs the user wants considered.
  2. Scope from the brain + the request: the pillars/queries/competitors to investigate this run; read the

ledger to exclude covered topics.

  1. Fan out adapto-researcher — one angle per subagent, in parallel ([sub-agents.md](../../shared/sub-agents.md)):

query clusters, competitor recent content, PAA/related questions, the user's URLs, and (if there's no site inventory yet) a crawl of the user's site. Each returns cited findings. For volume/difficulty: auto-use a connected SEO MCP if present; otherwise the researcher runs the no-paid-tool keyword playbook — Google/Bing/YouTube autocomplete expansion, PAA / related recursion, and a SERP-composition difficulty heuristic — reporting qualitative bands, never fabricated numbers. It does not auto-crawl competitor sitemaps/indexes.

  1. Synthesize into the dossier: group findings, build the keyword/intent map + AEO question targets, list

competitor gaps, and surface a ranked menu of opportunities (titles/angles) — not full plans.

  1. Append the additive facet enrichments + a learnings.md note, then point to adapto:content-plan.

Preconditions

  • Preflight with the adapto:doctor checks (CLAUDE.md §3.14).
  • A .adapto/project/ brain (run adapto:project-define first; or proceed thin with a one-line

description and note the gap).

  • No auth/tenant needed (no CMS writes). adapto CLI >= 0.0.7.

Errors and recovery

  • No brain → suggest adapto:project-define; or proceed from a short description and flag it's ungrounded.
  • Thin web results / no data → report what was found, write the dossier with what you have, note gaps;

never fabricate findings or metrics.

  • adapto-researcher unavailable → do a reduced single-pass research inline and say coverage is limited.
  • A URL won't fetch → note it and continue with the rest.

Forbidden actions

  • Never write to the CMS (mutates: false).
  • Never rewrite brain facets — only append additive findings (consolidation is adapto:project-learn).
  • Never invent keyword metrics — qualitative bands unless a real data source provided numbers (conventions §16).
  • Never re-research topics the ledger shows as covered without saying so.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.