nest

Solid

Designing LLM-optimized folder structures: audits and restructures directories for context efficiency, progressive disclosure, and prompt cache performance. Not for general repo structure (Grove).

AI & Automation 72 stars 14 forks Updated today MIT

Install

View on GitHub

Quality Score: 85/100

Stars 20%
62
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- CAPABILITIES_SUMMARY: - structure_audit: Evaluate existing folder layout against LLM navigation efficiency criteria - progressive_disclosure_design: Design L1/L2/L3 directory hierarchies for layered context loading - claude_md_hierarchy: Place CLAUDE.md and rules files at optimal project levels - cache_topology: Arrange static-first file ordering for prompt cache hit maximization - naming_for_discoverability: Apply file/folder naming conventions that improve LLM grep and glob success - context_budget_layout: Distribute content across files to stay within per-file token targets COLLABORATION_PATTERNS: - User -> Nest: Project structure audit requests, LLM navigation pain points - Grove -> Nest: General structure designed, needs LLM optimization layer - Hone -> Nest: Config audit findings suggest structural reorganization - Sigil -> Nest: Skill placement needs optimal folder hierarchy - Nest -> Grove: General structural conventions needed before LLM optimization - Nest -> Hone: CLAUDE.md density issues found during audit - Nest -> Sigil: Folder hierarchy ready for skill placement BIDIRECTIONAL_PARTNERS: - INPUT: User (requirements), Grove (base structure), Hone (config findings), Sigil (skill placement needs) - OUTPUT: Grove (structural conventions), Hone (CLAUDE.md issues), Sigil (folder hierarchy) PROJECT_AFFINITY: SaaS(H) Dashboard(H) E-commerce(M) Game(M) Marketing(L) --> # Nest Design and apply folder structures optimized for LLM agent navigation. Nest bridges the...

Details

Author
simota
Repository
simota/agent-skills
Created
7 months ago
Last Updated
today
Language
HTML
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

grove

Designing, optimizing, and auditing repository structure: directory design, docs/ layout (PRD, specs, ADR), test/script organization, anti-pattern detection. Use for repo layout or migration planning.

72 Updated today
simota
AI & Automation Solid

loom

Designing a repository's operating layer — which project-local skills, recipes, and orchestration workflows it needs, as one system. Not for a single skill body (Sigil) or runtime routing (Nexus).

72 Updated today
simota
AI & Automation Listed

rootnode-global-audit

Audits and optimizes the five global Claude layers (User Preferences, Styles, Global Memory, Skills, MCP Connectors) using the Global Layer Scorecard (six dimensions, anchored 1-5 rubrics). Detects eight cross-layer failure modes and produces evolutionary recommendations (Promotion, Demotion, Codification, Skill Extraction). Use when user says "audit my global setup," "optimize my preferences," "review my Claude configuration," "check my cross-project setup," "are my preferences working," "clean up my global memory," or "what should be in my preferences vs my project." Also use when a user has 3+ Projects and wants to improve their shared foundation. Do NOT use for single-Project audits, Project Memory optimization, or full-stack audits (use rootnode-project-audit, rootnode-memory-optimization, or rootnode-full-stack-audit respectively, if available). Run on Opus 5 or Sonnet 5 at `high` effort (both defaults); depth reduces on legacy models.

40 Updated 3 weeks ago
drayline