Files
holocron/AGENTS.md
Defame1297 3b5b1b5199 docs(spec): remove overview.md, rewrite architecture.md for plugin model
## Why
overview.md described the chunk-based delivery model, which is superseded
by the marketplace/plugin pivot. architecture.md was equally stale: it
described .agents/skills/ as the canonical skills source (directory does not
exist), a provider-manifest.sh symlink mechanism (never built), and sync.sh /
init-project.sh as existing scripts (Chunk 6, not yet built).

## Implementation Notes
- overview.md deleted; all cross-references scrubbed from AGENTS.md, CONTEXT.md,
  and three notes/research files
- architecture.md fully rewritten: content deployment model reflects actual
  install.sh behaviour (DEPLOY_FILES / DEPLOY_EXECUTABLES / DEPLOY_DIRS);
  plugin model section added listing all 5 plugins; directory structure section
  removed (was describing a layout that no longer exists)
- "Chunk 6" phase label → "planned"; "chunk workflow" removed from AGENTS.md
  description
- Fixed broken path docs/HUMANS.md → docs/wiki/HUMANS.md in governance layer
  and core/instructions/governance.md

Refs: #15
2026-06-28 19:53:19 +00:00

1.8 KiB

Working in this repo

This repo is the global AI development configuration repository — the authoritative source for agent definitions, skills, workflows, and prompts across all projects.

Structure

  • plugins/ — installable plugin units; each is self-contained (skills, agents, hooks, MCP servers, bundled assets); install separately via claude plugin install <name>@holocron
  • providers/claude-code/ — Claude Code adapter (deployed to ~/.claude/ via install.sh)

Key documents

Read CONTEXT.md at the start of every session in this repo.

Read these on demand:

  • docs/VISION.md — purpose, goals, and long-term Management Application vision
  • docs/spec/architecture.md — current directory structure, install pipeline, provider model
  • docs/adr/ — architectural decisions; read before answering design questions or proposing structural changes
  • docs/ai-constitution.md — full governance evidence base; read when a governance decision needs justification
  • docs/research/ai-coding-factory/ai-coding-factory-principles.md — factory design rationale; read when implementing, auditing, or reviewing skills or factory structure
  • docs/notes/factory-integration-decisions.md — decisions from the factory integration grill; read when making skill authoring or factory design decisions
  • Governance rules are always in effect — core/instructions/governance.md (agent rules); docs/research/governance_principles/CONTROLS.md

Working context

This repo is built by a junior developer as a homelab tool intended to scale to professional environments. Challenge ideas and reference industry standards rather than validate assumptions. Explain the why behind decisions — assume the user is learning, not just executing. Flag significant actions before taking them.