robotaitai/project-bedrock/project-ontology-bootstrap
Claude Code and agent skill by robotaitai/project-bedrock
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Checking that the SKILL.md file is still in the repository.
Bootstrap an adaptive project knowledge tree. Use when agent-knowledge/Memory/MEMORY.md is missing, broken, or too generic.
Install
npx vskill@latest install robotaitai/project-bedrock/project-ontology-bootstrapSKILL.md
Project Ontology Bootstrap
Creates a minimal knowledge scaffold, then the agent infers the ontology from the real project. Run this once -- then maintain with the writeback rule.
When to use
agent-knowledge/Memory/MEMORY.mddoes not exist or is emptyMemory/MEMORY.mdexists but is still generic bootstrap content- User says "initialize memory", "bootstrap memory", or "set up project memory"
- Starting work on an inherited repo with no prior agent memory
Step 0 -- Verify the local pointer
The project entrypoint is ./agent-knowledge.
./agent-knowledgemust be a symlink or junction to the real dedicated knowledge folder- The external folder is the source of truth
- Manual and scripted bootstrap still write through
./agent-knowledgeas the local handle
If the pointer does not exist yet, create it first with:
Step 1 -- Run the bootstrap script
This creates a minimal scaffold:
The script detects a profile hint (web-app, robotics, ml-platform, or hybrid) and stores it in STATUS.md. The hint does NOT create branch notes -- that is the agent's job.
Step 2 -- Inspect the repo and infer the ontology
After the scaffold exists, inspect:
- Manifests and lockfiles
- Directory structure
- Docs (README.md, AGENTS.md, CLAUDE.md, docs/)
- Config files
- Test directories
- Workflow files
- Any evidence already present under Evidence/
From these signals, determine the project's natural decomposition. Use the project's own terminology, not generic template names.
Step 3 -- Create initial branch notes
Create one branch per functional domain in the project. Use the same-name convention:
- Small topic with no subtopics:
Memory/<topic>.md - Bigger topic with subtopics:
Memory/<topic>/<topic>.md
Each branch note must stay under ~150 lines. If a topic is too big for one note, split it into a folder with subtopic notes.
Do NOT put the whole system description in a single file. Split by functional domain.
Example for a robotics project:
Rules:
- Use the project's own decomposition and terminology, not generic templates
- Each branch = one focused functional domain. Do NOT use generic names like
"architecture" or "conventions" to lump unrelated subsystems together.
- Keep each note under ~150 lines. Split if bigger.
- Link related notes to each other with relative markdown links
(e.g., See [localization](localization/localization.md) for sensor fusion)
- Do not create empty placeholder branches
- Each branch entry note should have frontmatter, Purpose, Current State, Recent Changes,
Decisions, and Open Questions sections
Step 4 -- Seed from immediately available facts
For each branch you create, seed it with verified facts:
- Read manifests, configs, docs, and directory structure
- Write only confirmed facts to Current State
- Do not invent facts or speculate
- If a source is machine-generated, verify against the repo before writing to Memory/
Step 5 -- Update Memory/MEMORY.md
Add links to each branch note in the Branches section:
Step 6 -- Trigger history backfill
Bootstrap creates structure only. To fill it with real project history:
Then follow the history-backfill skill to distill evidence into memory.
Output checklist
After bootstrap, verify:
- [ ]
agent-knowledge/Memory/MEMORY.mdexists and uses YAML frontmatter - [ ]
agent-knowledge/Memory/decisions/decisions.mdexists - [ ] Each branch note has a Purpose and at least one entry in Current State
- [ ]
agent-knowledge/Evidence/raw/andagent-knowledge/Evidence/imports/exist - [ ]
agent-knowledge/Sessions/exists - [ ]
Memory/MEMORY.mdis still short enough to scan quickly - [ ] No INDEX.md files were created
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingassets/skills/project-ontology-bootstrap/SKILL.md
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