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AI EngineeringPython

Accint Frames

by sickn33

Drain acc's open/waiting brain frames queue by reading typed holes and retrieved context, then submitting proposals via acc_act. Use this skill to clean up checkpointed frames from headless AI runs.

44K stars6.5K forksAdded 2026/07/19
agent-skillsagentic-skillsai-agent-skillsai-agentsai-codingai-workflowsantigravityantigravity-skillsclaude-codeclaude-code-skillscodex-clicodex-skillscursorcursor-skillsdeveloper-toolsgemini-cligemini-skillskiromcpskill-library

Documentation

README

frames

When to Use

Use this skill when you need drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").

Routing sugar over the two MCP verbs — no logic lives here.

  1. List the queue: acc frames (CLI, read-only observation).
  2. For each open/waiting frame: read its typed hole + retrieved context, deliberate, then submit via acc_act(runtime="continue", input={"frame_id": ..., "submit_token": ..., "proposal_text": ...}).
  3. 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.
  4. An identical duplicate submit replays the cached result — resubmitting is safe.
  5. Surface each resolution's commitment id and cited [ids]; drain the queue fully before taking new work — checkpointed frames are work headless runs saved for you.

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.

More from sickn33

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