# Accint Solve

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

- Skill: `ranbot-ai/accint-solve` (Agent Skill)
- Install (CLI): `npx skillmds add ranbot-ai/accint-solve`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ranbot-ai/accint-solve/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ranbot-ai (https://skillmd.com/u/ranbot-ai)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ranbot-ai/accint-solve

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# 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", ...)`.

## Example

**User request:**

> Use @accint-solve for this task: Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.

## 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.