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LangChainKnown publisherlangchain-ai/docs/docs-release-watch/skills/release-research/SKILL.md

release-research

Skill445 starsChanged 10 days agoMITView on GitHub

Investigate an eligible product release against source diffs and current docs. Read-only. Returns a feature list with evidence; does not open tickets or PRs.

The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 0 are distinctive, and 7 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 7

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use this skill only inside the release-research subagent.

    line 8
  2. Very specific:

    Call get_eligible_release for the product with defaults (min_age_days=7, max_age_days=30).

    line 16
  3. Very specific:

    Read product memory (/memories/agent/<product>-releases.md) and skip features already tracked for that tag.

    line 17
  4. Very specific:

    Call get_release_diff for the eligible tag (omit base_tag so it resolves the previous same-prefix release).

    line 18
  5. Very specific:

    Call get_release_notes only as secondary context.

    line 19
  6. Very specific:

    Call check_docs_coverage with the candidate symbols/flags and concrete docs page paths (for example src/oss/deepagents/customization.mdx).

    line 21
  7. Very specific:

    Call get_docs_file on pages that might need updates when coverage is missing or wording looks wrong.

    line 22

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Release research (read-only)

Use this skill only inside the release-research subagent. You investigate. You do not ship.

Goal

For one product, decide which user-facing features in the eligible release need documentation updates, with citations from the product repo at that tag.

Steps

  1. Call get_eligible_release for the product with defaults (min_age_days=7, max_age_days=30). Only releases in that window are in scope, including on a first run with empty memory. Stop if nothing is eligible. Prefer the newest candidate; do not walk older tags outside the window.
  2. Read product memory (/memories/agent/<product>-releases.md) and skip features already tracked for that tag.
  3. Call get_release_diff for the eligible tag (omit base_tag so it resolves the previous same-prefix release). Treat the commit list and changed files as the primary signal.
  4. Call get_release_notes only as secondary context. Notes are leads, not ground truth.
  5. For each candidate feature from the diff, call get_product_source_file at the head tag and confirm the API, flag, command, default, or behavior exists.
  6. Call check_docs_coverage with the candidate symbols/flags and concrete docs page paths (for example src/oss/deepagents/customization.mdx). If every needle already appears and the existing wording is still correct, put the feature under skipped with reason "already documented".
  7. Call get_docs_file on pages that might need updates when coverage is missing or wording looks wrong.
  8. Return a single research report. Do not call Linear or PR tools (you do not have them).

Research report format

Return JSON (as your final message text) with this shape:

{
  "product": "deepagentsjs",
  "head_tag": "deepagents@1.14.2",
  "base_tag": "deepagents@1.14.1",
  "features": [
    {
      "name": "FilesystemMiddleware offloadBinaryContent",
      "needs_docs": true,
      "reason": "New public option; docs Full stack and Override sections omit it.",
      "docs_paths": ["src/oss/deepagents/customization.mdx"],
      "evidence": {
        "source_repo": "langchain-ai/deepagentsjs",
        "source_tag": "deepagents@1.14.2",
        "items": [
          {
            "path": "libs/deepagents/src/middleware/filesystem.ts",
            "symbol": "offloadBinaryContent"
          }
        ]
      },
      "diff_files": [
        "libs/deepagents/src/middleware/filesystem.ts"
      ]
    }
  ],
  "skipped": [
    {
      "name": "internal test harness rename",
      "reason": "No user-facing API or docs impact."
    }
  ]
}

Set needs_docs to false (or put the item under skipped) when source shows no user-facing change, when check_docs_coverage shows the symbols are already present and correct, or when docs already cover it.

Do not

  • Open Linear issues or draft PRs
  • Invent symbols that are not in get_product_source_file or the diff
  • Recommend docs for pure refactors, dependency bumps, or internal-only changes
  • Bundle unrelated capabilities into one feature entry

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