Skill · AI Agents
Accint frames
Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
How to use it
- Start your plan and connect your AI once
- Ask for the task in your own words, or say it directly:
Use the Accint frames skill to help me with this.Without a connection: copy the SKILL.md below into your AI's project instructions.
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.
- List the queue:
acc frames(CLI, read-only observation). - For each open/waiting frame: read its typed hole + retrieved context, deliberate,
- End
proposal_textwithPREDICT: <0.00-1.00> <why>; acc strips that line before - An identical duplicate submit replays the cached result — resubmitting is safe.
- Surface each resolution's
commitmentid and cited[ids]; drain the queue fully
then submit via acc_act(runtime="continue", input={"frame_id": ..., "submit_token": ..., "proposal_text": ...}).
the owner sees it and uses it to calibrate the Work Model against later outcomes.
before taking new work — checkpointed frames are work headless runs saved for you.
Example
User request:
Use @accint-frames for this task: Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="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.