By pwarnock
Progressive disclosure methodology for LLM-consumed documents — organize any doc (CLAUDE.md, AGENTS.md, system prompts, runbooks) using three-tier lazy loading
npx claudepluginhub pwarnock/pwarnock-cc-plugins --plugin progressive-disclosureOptimize CLAUDE.md and docs/ ecosystem following Boris Cherny's best practices
llmdoc Claude Code plugin with a minimal workflow: init, update, and use
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Rewrite a CLAUDE.md file using <important if> blocks to improve instruction adherence
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Modifies files
Hook triggers on file write and edit operations
Share bugs, ideas, or general feedback.
Organize any LLM-consumed document using three-tier progressive disclosure (lazy prompting). Keeps high-signal content always loaded, defers low-frequency detail to on-demand files.
Add to your Claude Code plugins:
claude plugin add /path/to/progressive-disclosure
Or install from the marketplace.
/progressive-disclosure
Runs an interactive workflow that:
When you edit a target document past a line threshold (200 for project-level, 100 for user-level), the plugin suggests running /progressive-disclosure.
Edit config/targets.txt to add custom glob patterns:
*/CLAUDE.md
*/.claude/CLAUDE.md
*/AGENTS.md
*/system-prompt.md
docs/runbook-*.md
| Tier | When Loaded | Examples |
|---|---|---|
| Level 1 | Every session | Core commands, hard rules, code patterns, error diagnostics |
| Level 1.5 | When conditions match | .claude/rules/ (CLAUDE.md), conditional sub-docs (AGENTS.md) |
| Level 2 | On demand via trigger | SOPs, edge cases, historical decisions, full config examples |
/revise-claude-md (from claude-md-management plugin) — routes new learnings to the correct tier, preventing re-bloatprogressive-disclosure, lazy-prompting, progressive-discovery, claude-md, agents-md, optimization
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