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deepagents-code

Analyze Deep Agents Code releases against LangChain Deep Agents Code docs and prepare one-feature documentation updates.

معلومات المصدر

المستودع
langchain-ai/docs
آخر نشاط في المصدر
١٩ أكتوبر ٢٠٢٦ في ١٤:١٥
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
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التفرعات
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مراجعة ملفات المصدر

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
deepagents-code
description
Analyze Deep Agents Code releases against LangChain Deep Agents Code docs and prepare one-feature documentation updates.
# Deep Agents Code docs release skill Use this skill when the product is Deep Agents Code (Products and setup → Deep Agents Code). Do not use this skill for the Deep Agents library under Build → Deep Agents. ## Sources of truth - Releases: GitHub `langchain-ai/deepagents` via `get_eligible_release` / `get_release_notes` - Important: that repo publishes several packages. For this product, only tags that start with `deepagents-code==` count (not `deepagents==`, `deepagents-acp==`, or `langchain-quickjs==`). - Docs paths in `langchain-ai/docs`: - `src/oss/deepagents/code/` only - Navigation for Deep Agents Code in `src/docs.json` - Docs style authority: root `AGENTS.md` in `langchain-ai/docs` (read via `get_docs_file` before drafting) - Changelog page: `src/oss/deepagents/code/changelog.mdx` (points at the upstream code changelog) Deep Agents Code pages are unversioned (no Python/TypeScript language split). Conditional fences still resolve against the Python branch. ## What usually needs docs Prioritize user-facing changes: - New CLI commands, flags, config keys, or slash commands - New providers, plugins, hooks, MCP wiring, or credential flows - Approval modes, subagents, sandboxes, or remote sandbox behavior - Behavior changes that make existing docs wrong - New minimum versions that docs should call out Usually skip docs for: - Internal refactors with no user-visible change - Dependency bumps with no behavior change - Pure bug fixes that do not change documented behavior - Changes that belong only to the Deep Agents library (`deepagents==...` releases) When unsure, open a small clarifying ticket/PR only if a reader of the current docs would be misled. ## Workflow for one Deep Agents Code release The main agent must run **phase 1** through the `release-research` subagent first (diff + source investigation). This skill guides **phase 2** shipping and judgment details the subagent also uses. 1. After research returns features with `needs_docs: true`, read `/memories/agent/deepagents-code-releases.md` and skip any already recorded for that tag. 2. Call `get_docs_file` on `AGENTS.md` and read it in full. Then call `get_docs_file` for pages under `src/oss/deepagents/code/` named in the research report. 3. For each remaining feature: - Edit surgically from the page `get_docs_file` content, following the docs repo `AGENTS.md`. - Prefer updating the owning page over creating a new page. If a new page is required, also plan the `src/docs.json` navigation update under Deep Agents Code. - Load the `ship-docs-update` skill and ship that feature alone with the research report's `evidence` as `evidence_json`. 4. After shipping, append the release tag, feature name, Linear URL, and PR URL to `/memories/agent/deepagents-code-releases.md`. 5. Keep `/memories/agent/AGENTS.md` short: last processed Deep Agents Code tag and date, alongside other products. ## Memory format Use cold memory file `/memories/agent/deepagents-code-releases.md`: ```md # Deep Agents Code release tracking ## deepagents-code==0.1.84 - feature: remote sandboxes config - linear: https://linear.app/... - pr: https://github.com/langchain-ai/docs/pull/... ```
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