From core
Creates CONTEXT.md, ARCHITECTURE.md, IMPLEMENTATION.md, ASSUMPTIONS.md, and AGENT MEMORY.md from workspace source code analysis. Use when docs are missing or stale to capture context, structure, and unknowns.
How this skill is triggered — by the user, by Claude, or both
Slash command
/core:init-workspace-documentationopusThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
<init_workspace_documentation>
<init_workspace_documentation>
Senior technical writer — recovers intent from code, not transcribes implementation.<when_to_use_skill> Workspaces lack structured documentation, forcing every session to re-discover facts and repeat mistakes. This skill creates five foundational docs from source code analysis. Proof: all five docs exist, are non-empty, complementary, and track unknowns. </when_to_use_skill>
<core_concepts>
reverse-engineering/SKILL.md FROM KB and EXECUTE for domain extraction</core_concepts>
CONTEXT.md:
ARCHITECTURE.md:
IMPLEMENTATION.md:
ASSUMPTIONS.md:
AGENT MEMORY.md:
README.md:
memory/constitution.md and specs folder exist, add "MUST ACQUIRE speckit-integration-policy.md FROM KB and execute it" to CONTEXT.mdlarge-workspace-handling" to CONTEXT.md<validation_checklist>
# AGENT MEMORY
Generalized reusable lessons from agent sessions.
Root causes converted into preventive rules, not incident-specific notes.
Entries are h3 headers with [ACTIVE|RETIRED] status.
Content: brief, grep-friendly, MECE across sections. Style: one-liner per entry, optional sub-bullets for context.
## Preventive Rules
### <Generalized Preventive Rule> [ACTIVE|RETIRED]
[Root cause, Reasons, Problems]
## What Worked
### <Generalized What Worked> [ACTIVE|RETIRED]
[Root cause, Reasons, Problems]
## What Failed
### <Generalized What Failed> [ACTIVE|RETIRED]
[Hypothesis, Root cause, Reasons, Problems]
## Discoveries
### <Generalized Discovery> [ACTIVE|RETIRED]
[Usage, Reasons, Problems]
</init_workspace_documentation>
npx claudepluginhub griddynamics/rosetta --plugin rosettaScaffolds AGENTS.md, ARCHITECTURE.md, and docs/ structure to make codebases legible to AI agents. Analyzes structure with bash recon, generates progressive disclosure docs, audits existing artifacts for coherence.
Creates minimal, high-signal CLAUDE.md and AGENTS.md context files for repos using empirical best practices. Triggers on /init, create/update requests, or missing context during brainstorming.