accint-solve

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Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.

AI & Automation 43,990 stars 6492 forks Updated today MIT

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Skill Content

# 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. 1. Call `acc_act(runtime="solve", input="<the goal>")`. 2. If the result is **final**: surface the answer, the `commitment` id, and the cited `[ids]`. 3. 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": ...})`. 4. 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. 5. Never leave a received frame unresolved; never solo-derive outside the loop. 6. 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.

Details

Author
sickn33
Repository
sickn33/agentic-awesome-skills
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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