Agent skill

Docs Planner

by strands-agents in strands-agents/harness-sdk

Identify documentation gaps and prioritize the docs backlog.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Docs Planner

skills CLI
$ npx skills add strands-agents/harness-sdk --skill docs-planner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install strands-agents/harness-sdk docs-planner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/strands-agents/harness-sdk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/docs-planner .claude/skills/docs-planner && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
docs-planner
GitHub stars
8.7k
Token cost
~821 tokens
SKILL.md length
284 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
Apache-2.0

At a glance

Identify documentation gaps and prioritize the docs backlog.

  • Works in 4 steps: Inventory current docs → Identify gaps → Prioritize → …
  • Planning a docs improvement sprint
  • SKILL.md covers Inputs, Process and What This Skill Does NOT Do
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Docs Planner is an agent skill from strands-agents/harness-sdk. Identify documentation gaps and prioritize the docs backlog. Use when planning a docs improvement sprint, after signals surface repeated friction, when new SDK features ship without docs, or for periodic health assessment. Also triggers on "plan docs work", "what docs need writing", "prioritize the backlog", "docs health check", "what should we document next".

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. It works with OpenAI. The repository describes itself as: Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud. The licence is Apache-2.0.

When your agent uses it

  • Planning a docs improvement sprint
  • After signals surface repeated friction
  • New SDK features ship without docs
  • For periodic health assessment

Example prompts

  • “plan docs work”
  • “what docs need writing”
  • “prioritize the backlog”
  • “/docs-planner”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Inventory current docs
  2. Identify gaps
  3. Prioritize
  4. Produce the backlog

What it can do on your machine

Read from SKILL.md and the folder at commit 79d8d07. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Docs Planner loads about 821 tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 284 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~821

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from strands-agents/harness-sdk at commit 79d8d07, republished under its Apache-2.0 licence (© strands-agents). 284 words, ~821 tokens.

Download SKILL.mdSave it as .claude/skills/docs-planner/SKILL.md (or your agent's skills folder).
name
docs-planner
description
Identify documentation gaps and prioritize the docs backlog. Use when planning a docs improvement sprint, after signals surface repeated friction, when new SDK features ship without docs, or for periodic health assessment. Also triggers on "plan docs work", "what docs need writing", "prioritize the backlog", "docs health check", "what should we document next".

Documentation Planner

Identify gaps in the docs site and produce a prioritized backlog.

Inputs

  • Scope: Area to assess — all docs, a specific section, or a feature area. Default: all.
  • Signals (optional): GitHub issues, community questions, support threads.
  • Competitive context (optional): What competitors document that we don't.

Process

Step 1: Inventory current docs

Read site/src/config/navigation.yml for the full navigation tree — this is the authoritative navigation source for the Astro site, loaded by site/astro.config.mjs via site/src/sidebar.ts. Glob site/src/content/docs/**/*.{md,mdx} for all content files. Classify each by content type (tutorial, how-to, reference, explanation, mixed) and coverage area (quickstart, tools, agents, multi-agent, deployment, etc.).

Step 2: Identify gaps

Compare the inventory against:

  • SDK surface area: Are all major features documented? Features without docs pages are gaps.
  • Diataxis completeness: For each feature area, does documentation exist across all four types? A feature with reference but no tutorial has a gap.
  • Community signals: If GitHub CLI is available, pull open issues labeled "documentation" from strands-agents/harness-sdk. Map questions to existing docs (unclear/hard to find) or missing docs (content gap).
  • Competitive comparison (if provided): What do LangChain, CrewAI, Anthropic, and OpenAI document about equivalent features that we don't?
Step 3: Prioritize

Score each gap on developer impact and effort:

  • P0 (do now): High impact, any effort. Quickstart, getting-started, core concepts.
  • P1 (do soon): Medium impact, low effort. Missing how-to guides for common tasks.
  • P2 (plan for): Medium impact, high effort. New tutorials, architectural explanations.
  • P3 (backlog): Low impact. Niche scenarios, edge case documentation.
Step 4: Produce the backlog

Output as markdown:

markdown
## Docs Backlog: [Scope]

**Generated:** [date]
**Pages inventoried:** [count]
**Gaps identified:** [count]

### P0: Do Now
- [ ] [Task] — [content type] — [target page] — [reason]

### P1: Do Soon
- [ ] [Task] — [content type] — [target page] — [reason]

### P2: Plan For
- [ ] [Task] — [content type] — [target page] — [reason]

### P3: Backlog
- [ ] [Task] — [content type] — [target page] — [reason]

### Coverage Matrix

| Feature Area | Tutorial | How-To | Reference | Explanation |
|---|---|---|---|---|
| Agent basics | Y | ~ | Y | N |
| Custom tools | Y | Y | Y | N |
| Multi-agent  | ~ | N | Y | ~ |

### Signal-Driven Insights
- [Theme from community signals mapped to specific doc gaps]

What This Skill Does NOT Do

  • Does not write docs (use docs-writer for that)
  • Does not require external signal pipelines (works with local inventory alone)
  • Does not auto-create tasks in external tools

© strands-agents, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/docs-planner of strands-agents/harness-sdk.

Open the folder on GitHubat commit 79d8d07

Compare with similar skills

Docs Planner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Docs Planner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Docs Planner this skillstrands-agents/harness-sdk8.7k—~821Automated safety check: PassApache-2.0
Codebase Managementgiancarloerra/SocratiCode3.3k1 repos~1.8kAutomated safety check: PassAGPL-3.0
Codex Fable5baskduf/FableCodex437—~1.6kAutomated safety check: PassAGPL-3.0
Agent Delegationkangarooking/system-prompt-skills205—~897Automated safety check: PassMIT
Memory Setupsundial-org/awesome-openclaw-skills6631 repos~1kAutomated safety check: PassNone
Save TrajectoryAgentToolkit/altk-evolve122—~1.4kAutomated safety check: PassApache-2.0

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Works with

Questions about Docs Planner

What does Docs Planner do?

Identify documentation gaps and prioritize the docs backlog. Docs Planner is an agent skill from strands-agents/harness-sdk. Identify documentation gaps and prioritize the docs backlog.

When should I use Docs Planner?

Docs Planner fits situations like: planning a docs improvement sprint; after signals surface repeated friction; new SDK features ship without docs; for periodic health assessment.

How do I install Docs Planner in Claude Code?

Run `npx skills add strands-agents/harness-sdk --skill docs-planner -a claude-code`. Or copy the skill folder (.agents/skills/docs-planner in strands-agents/harness-sdk) into .claude/skills/docs-planner in your project. Claude Code loads it when a task matches its description.

How do I install Docs Planner in Codex?

Run `npx skills add strands-agents/harness-sdk --skill docs-planner -a codex`. Or copy the skill folder (.agents/skills/docs-planner in strands-agents/harness-sdk) into .agents/skills/docs-planner in your project. Codex loads it when a task matches its description.

Can I use Docs Planner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add strands-agents/harness-sdk --skill docs-planner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/docs-planner, .gemini/skills/docs-planner, .github/skills/docs-planner and .opencode/skills/docs-planner in your project.

What does Docs Planner need to run?

SKILL.md names no scripts, command-line tools or credentials: Docs Planner is instructions for the agent only.

Does Docs Planner access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Docs Planner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Docs Planner use?

Docs Planner is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Docs Planner use?

About 821 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Docs Planner?

Skills that share tags, products or a category with Docs Planner: Codebase Management (giancarloerra/SocratiCode, 3.3k stars), Codex Fable5 (baskduf/FableCodex, 437 stars), Agent Delegation (kangarooking/system-prompt-skills, 205 stars) and Memory Setup (sundial-org/awesome-openclaw-skills, 663 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Docs Planner?

strands-agents (a GitHub organization) maintains it in strands-agents/harness-sdk, which has 8,704 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 6, 2026.

Source: strands-agents/harness-sdk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.