| name | drawforge-bootstrap |
| description | Bootstrap skill for DrawForge. Use this skill to onboard an agent into the DrawForge GitHub repository, understand the project structure, run the canonical cold-start smoke test, and begin working with the Visio-based drawing loop safely. |
| version | 0.1.2 |
| metadata | {"openclaw":{"homepage":"https://github.com/qweadzchn/DrawForge","requires":{"bins":"[Truncated]","env":"[Truncated]"}}} |
DrawForge Bootstrap
This is a lightweight onboarding skill for the DrawForge repository.
It is not the full DrawForge system.
Its job is to guide an agent to the correct GitHub repository, documents, smoke test, and execution flow.
DrawForge itself is an agent-driven closed loop built on top of Microsoft Visio.
Its goal is to turn reference figures into directly editable diagram assets by helping agents operate Visio more like a capable human user rather than as a blind API caller.
What this skill can do
This skill can help an agent:
- understand what DrawForge is trying to achieve
- find the correct GitHub repository and entry documents
- avoid random first-run behavior and jump into the intended workflow
- run the canonical cold-start smoke test
- start reproducing reference figures through the DrawForge Visio loop
- move toward a result that a human can continue editing directly in Visio
Typical outcomes
After using this skill, an agent should be able to:
- explain the DrawForge workflow clearly
- bootstrap itself into the repository with the correct read order
- validate that the Visio bridge and execution path are working
- begin work on figure reproduction with better layer awareness
- help produce editable
.vsdx outputs instead of dead image copies
What this skill is for
Use this skill when an agent needs to:
- find the DrawForge source repository
- understand the top-level architecture quickly
- avoid free-form blind retries
- run the canonical cold-start smoke test
- begin work in the correct layer
When to use it
Use this skill when:
- an agent is entering DrawForge for the first time
- a new environment needs to be validated before real drawing work
- a user wants an agent to help reproduce a figure through Visio
- the goal is not only to look similar to the reference, but to obtain a directly editable diagram asset
What this skill is not
This skill does not bundle the whole repository.
It does not include Visio bridge code, benchmark PNGs, or runtime artifacts.
The full project lives in the GitHub repository:
https://github.com/qweadzchn/DrawForge
Recommended workflow
- Clone the GitHub repository locally.
- Read the cold-start entry documents.
- Run the canonical smoke test before doing open-ended drawing work.
- Only then move on to real jobs or system improvements.
Clone the repository
git clone git@github.com:qweadzchn/DrawForge.git
cd DrawForge
If SSH is not available, use HTTPS instead.
Read order
Read these files first:
AGENT_START_HERE.mdAGENT_GUIDE.mdGET_STARTED.mddocs/human/setup/AGENT_COLD_START_SMOKE_TEST.mdMODE_POLICY.md
Canonical smoke test
From the repo root:
python Setup\prepare_smoke_test.py --config Setup\examples\smoke-test-inputpng-1.json
python Setup\run_draw_job.py --config Setup\examples\smoke-test-inputpng-1.json
python Setup\execute_drawdsl.py --config Setup\examples\smoke-test-inputpng-1.json --round 1 --save-final
Expected outputs:
OutputPreview/smoke-inputpng-1/round-01.pngOutputEditable/1_smoke_test_final.vsdx
Routing rule
When working inside DrawForge:
- if the issue is round-specific, keep it in review artifacts
- if it looks structural but still needs validation, write a proposal
- if it is already reusable experience, promote it into a lesson
- if the shared fix is clear, patch the owning layer directly
Where to go next
See:
README.mdCONTRIBUTING.mddocs/architecture/FEEDBACK_PROMOTION_LOOP.md
