frames

SkillWeb & browsing

Lets your agent continue and clear pending deliberation checkpoints left open by earlier automated runs.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the frames skill

About this capability

Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").

What this skill tells your AI

The instructions your AI receives, as published by lingxling/awesome-skills-cn in antigravity-awesome-skills/skills/accint-frames/SKILL.md and read by ahel’s review.

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.

Signals

GitHub stars
282
Forks
47
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
accint-frames
Source
github.com/lingxling/awesome-skills-cn