playbook/antigravity-awesome-skills/plugins/agentic-awesome-skills-claude/skills/accint-frames/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-frames	Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").	critical	https://github.com/maxbaluev/accreted-intelligence/tree/main/plugins/claude/skills/frames	maxbaluev/accreted-intelligence	community	2026-07-01	Apache-2.0	https://github.com/maxbaluev/accreted-intelligence/blob/main/LICENSE

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.