playbook/antigravity-awesome-skills/plugins/agentic-awesome-skills-claude/skills/accint-solve/SKILL.md

name, description, risk, source, source_repo, source_type, date_added, license, license_source

name	description	risk	source	source_repo	source_type	date_added	license	license_source
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.	critical	https://github.com/maxbaluev/accreted-intelligence/tree/main/plugins/claude/skills/solve	maxbaluev/accreted-intelligence	community	2026-07-01	Apache-2.0	https://github.com/maxbaluev/accreted-intelligence/blob/main/LICENSE

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.