Grills intent, classifies target artifact type (skill/agent/plugin/marketplace entry) against a fully descriptive table, then routes to the matching author skill via fork subagent (falling back to inline when fork is unavailable or the flow needs live interaction). Adds an independent clean-context audit recheck after each skill/agent route, looping author-then-audit until the recheck comes back clean, since the author skill's own inline audit shares context with the work it verifies. Updates CONTEXT.md's Skill composition entry to describe this recheck loop and adds forge's provenance chain (references/sources.md). Refs Defame1297/holocron#61 Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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name, description
| name | description |
|---|---|
| AI Development Repo | Domain language and decisions for the global AI development config repository |
Context
Principles
CLAUDE.md index model
AGENTS.md is the source of always-on universal rules (provider-agnostic). providers/claude-code/CLAUDE.md is a thin adapter: it imports ~/.agents/AGENTS.md via @~/.agents/AGENTS.md and appends Claude Code-specific additions (@import for governance.md, content index). Deployed to ~/.claude/CLAUDE.md via install.sh. Context size is kept minimal — only what is needed every session is loaded upfront; detailed content is pulled on demand. See ADR-0012.
Instruction file format
core/instructions/<topic>.md files are plain markdown — no frontmatter, no schema. The agent decides when to read each file based on task context and the content index label in providers/claude-code/CLAUDE.md. Frontmatter is deferred until there is evidence that agents are loading the wrong files in practice.
Repo/gitea as source of truth
All project state, decisions, context, and working conventions live in this repo or Gitea. External memory systems should not be used for this project — they create a split-brain risk where cached state diverges from the repo. At the start of every session, read CLAUDE.md, CONTEXT.md, and docs/VISION.md. Everything needed to orient is here.
Before answering any design or architecture question, check for existing decisions: docs/adr/ (hard architectural decisions).
Glossary
Management Application
A separate product (separate repo) for browsing, editing, and configuring AI development configs through a proper product UI. Git is the persistence layer, invisible to the user. The app is repo-agnostic — it works with any git repo that follows these conventions. This repo is the canonical default content (the official starter). See docs/VISION.md for the phased roadmap.
Skills
Reusable slash commands for AI coding tools, defined as SKILL.md files following the Agent Skills open standard. Deployed via plugin — plugins/<plugin-name>/skills/<skill-name>/SKILL.md, available after the plugin is installed (claude plugin install <name>@<marketplace>). Skills are self-contained — they cannot reference files outside the plugin directory after install-time caching.
Plugin
The deployable unit in the plugin marketplace. A plugin bundles one or more skills, agents, hooks, prompts, MCP servers, and optionally a bin/ directory into a single installable directory. Each plugin has two manifests: .claude-plugin/plugin.json (Claude Code) and plugin.json at the plugin root (Copilot CLI). Plugins are copied to a cache on install — they cannot reference files outside their own directory. In this repo, plugins live under plugins/<name>/. Install a plugin with claude plugin install <name>@<marketplace>.
Plugin marketplace
A Git repository with a marketplace.json manifest listing installable plugins. No backend, registry, or SaaS required — the Git repo is the marketplace. This repo is the holocron marketplace. The manifest lives at .claude-plugin/marketplace.json (read by both Claude Code and Copilot CLI) and is mirrored to .github/plugin/marketplace.json.
HITL (human-in-the-loop)
Agent pauses before a consequential action; human approves before execution. Required for irreversible or high-stakes actions (architecture changes, production deployments, security configuration). The agent drafts the change plan and waits — it does not proceed autonomously. Contrast with HOTL.
HOTL (human-on-the-loop)
Agent acts; human monitors and can intervene after the fact. Acceptable for low-stakes, bounded, reversible actions where the cost of pausing for approval exceeds the blast radius of an error. The distinction between HITL and HOTL must be explicit and documented — defaulting to HOTL for convenience is not acceptable.
Sycophancy
The failure mode where RLHF-trained models prioritise approval over accuracy. Treated as a first-class reliability risk: models change correct answers to wrong ones under user pressure in a majority of observed cases, then persist in the wrong answer. Designing against sycophancy is an explicit obligation, not a quality-of-life concern. Countermeasures: explicit pushback resistance instructions, prompting for dissent, cross-validating against independent sources. Never interpret AI agreement as AI accuracy.
AGENTS.md
The provider-agnostic always-on instruction entry point. Two files:
- Repo-level
AGENTS.md— instructions for agents working inside this repo (structure, key rules); imported by repoCLAUDE.mdvia@AGENTS.md. - Global
core/AGENTS.md— Communication and Behavior rules that apply across all projects; deployed to~/.agents/AGENTS.md; imported by~/.claude/CLAUDE.mdvia@~/.agents/AGENTS.md.
Contains always-on rules in plain markdown with no provider-specific syntax (no @import). Provider-specific files (CLAUDE.md) are thin adapters that import the relevant AGENTS.md and add only Claude Code-specific syntax. This pattern means a single source of truth can serve multiple providers without duplication. See ADR-0012.
Skill composition
A skill calling another skill by name to delegate a sub-task. The calling skill focuses on the orchestration decision ("when to do X"); the called skill owns the mechanics ("how to do X"). Established compositions: grill-me calls write-adr when a decision crystallises; implement-feature calls tdd as its implementation methodology; forge calls grill-with-docs to refine intent, classifies the target artifact type (skill / agent / plugin / marketplace entry), then routes to the matching *-author skill — which owns its own create/improve logic and, where applicable, its own inline audit closeout (skill-author runs /skill-audit, agent-author runs kyberforge:agent-audit, both in the same context as the authoring work). forge additionally runs its own independent recheck after a skill/agent route finishes: a clean-context subagent (not forked, no inherited context) re-runs the same audit skill against the finished artifact, as a distinct verification layer from the author skill's inline audit — the two can share blind spots since the inline audit runs in the same context as the work it checks. If the clean audit surfaces any unresolved finding, forge loops — re-invoke the author skill to resolve it, re-run the clean audit — until the clean audit comes back with nothing unresolved; only then is the route done. plugin-author and marketplace-author have no audit counterpart and get no recheck; their terminal check is claude plugin validate.
Provider-agnostic issue tracker
Skills and workflows reference "linked issue" generically rather than a specific provider. Gitea is the canonical issue tracker for this repo (see ADR-0017). "Issue" is the cross-provider term (GitHub, GitLab, Gitea all use it).
Provenance chain
The three-stage traceability record linking a skill back to its research inputs: (1) /research produces topic docs and a sources.md in plugins/<plugin>/docs/research/docs/<topic>/; (2) /skill-author reads those docs and records which sources informed which skill files in references/sources.md (including a Research doc: back-pointer to the upstream research file) and source_keys frontmatter on SKILL.md and references/*.md; (3) skill-audit validates the chain is complete and internally consistent via validate-provenance.sh. A skill with research input but no references/sources.md, or with source_keys that don't match references/sources.md slugs, has a broken provenance chain.
Bidirectional reference principle
Files that reference other files should declare those references explicitly. The referencing file carries the forward reference (e.g. content index in CLAUDE.md, references: in frontmatter). The referenced file carries a when: field describing when it is loaded. Both sides should agree — divergence signals staleness. The reverse map ("what files reference this file?") is derived by a reference scanner script, not maintained manually. This principle applies to instruction files, skills, and workflow documents.
LESSONS.md
Long-loop feedback log for patterns observed across sessions. Three or more entries on the same pattern graduate to the relevant standing file (e.g. a coding convention, a governance rule). Updated by the session-handoff skill or directly by the human. Lives at the repo root.