brainharness-docsOrganize project documentation by size, audience, and freshness. Trigger when setting up docs for a new project, restructuring existing documentation, slimming a bloated CLAUDE.md/AGENTS.md, deciding where a doc should live, or on doc best practices questions. Also trigger when CLAUDE.md exceeds ~250 lines or docs are duplicated across files. Triggers on: organize docs, reorganize documentation, slim CLAUDE.md, AGENTS.md too long, where to put docs, docs structure, doc best practices, set up documentation, docs are messy, flatten docs, doc migration.
Install via ClawdBot CLI:
clawdbot install zning1994/brainharness-docsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/zning1994/brainharness-docsAudited Oct 4, 2026 · audit v1.0
Generated Oct 4, 2026
An engineering team's CLAUDE.md has grown past 350 lines, mixing quick-start commands, architecture notes, and legacy gotchas. They use BrainHarness Docs to audit root-level noise, split content into docs/reference and docs/runbooks, and keep only essential constraints plus a doc index in CLAUDE.md. The result is a 200-line agent file that loads faster and stays accurate.
A startup is bootstrapping an AI agent product with no existing documentation. They apply the Small or Medium template from BrainHarness Docs to decide whether a docs/ directory is needed, what sections (design, plans, reference) to create, and how to map the project by size. Within a day they have a navigable structure instead of a flat folder.
A platform team manages an umbrella workspace containing five independent repos plus shared deploy scripts and infrastructure configs. BrainHarness Docs helps them keep cross-repo docs at the umbrella level and repo-specific docs inside each repo, eliminating duplication and clarifying ownership. They use the Multi-Repo template to define docs/ subfolders for design, research, runbooks, and plans.
A consulting firm inherits a large legacy system with scattered README files, outdated screenshots, and debug logs in the root. They follow the Root-Level Noise Audit and then apply the Large Project template to consolidate API references, runbooks, and ADRs into a structured docs/ hierarchy. The cleanup reduces onboarding time for both human engineers and AI agents.
A growing SaaS company has no consistent documentation standards; facts are duplicated across Notion, GitHub wikis, and code comments. BrainHarness Docs provides a repeatable decision framework for where a doc should live based on audience, size, and freshness. The team adopts the templates as an internal standard, reducing drift and making docs searchable.
The skill is released as an open-source package on GitHub, attracting individual developers and small teams. Revenue comes from optional enterprise support plans, priority issue resolution, and custom documentation audits for larger organizations.
The documentation organization methodology is bundled into a hosted platform that scans repositories, flags doc drift, and enforces templates via CI checks. Teams pay a monthly subscription per developer seat for automated audits and reporting.
Companies buy instructor-led workshops or self-paced courses teaching teams how to apply BrainHarness Docs to their monorepos and legacy systems. The offering includes template packs, recorded walkthroughs, and a certification for internal doc champions.
💬 Integration Tip
Start by running the Root-Level Noise Audit before any doc restructuring, and integrate the size assessment (Small/Medium/Large) into your project README template so new repos follow the same path by default.
Scored Oct 4, 2026
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