| name | accint-solve |
| description | Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue. |
| category | AI & Agents |
| source | antigravity |
| tags | ["mcp","claude","ai","security"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/accint-solve |
solve
When to Use
Use this skill when you need route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
Routing sugar over the two MCP verbs — no logic lives here.
- Call
acc_act(runtime="solve", input="<the goal>").
- If the result is final: surface the answer, the
commitment id, and the cited [ids].
- If the result is a brain_frame: it is YOUR deliberation turn — the frame is typed
(which hole, what was retrieved, what is predicted). Reason over it, then submit via
acc_act(runtime="continue", input={"frame_id": ..., "submit_token": ..., "proposal_text": ...}).
- End
proposal_text with PREDICT: <0.00-1.00> <why>; acc strips that line before
the owner sees it and uses it to calibrate the Work Model against later outcomes.
- Never leave a received frame unresolved; never solo-derive outside the loop.
- Close the commitment honestly later with
acc_act(runtime="outcome", ...).
Limitations
- Use this skill only when the task clearly matches its upstream source and local project context.
- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
