Route a goal through acc's scored-memory workflow, which uses evaluated stored information. Handle returned reasoning frames, submit proposals with confidence estimates, and present final answers with reference IDs before recording the eventual outcome.
Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
Review the instructions the agent will receive before you install.
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.
acc_act(runtime="solve", input="<the goal>").commitment id, and the cited [ids].acc_act(runtime="continue", input={"frame_id": ..., "submit_token": ..., "proposal_text": ...}).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.acc_act(runtime="outcome", ...).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.
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