accint-frames
Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
npx skills add sickn33/agentic-awesome-skills --skill accint-frames --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 enviro
- When to Use
- Limitations
What does the accint-frames skill do?
Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill accint-frames --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.