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Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
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Based on SOC occupation classification
| name | accint-frames |
| description | Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue"). |
| category | AI & Agents |
| source | antigravity |
| tags | ["mcp","claude","ai","security"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/accint-frames |
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.
acc frames (CLI, read-only observation).acc_act(runtime="continue", input={"frame_id": ..., "submit_token": ..., "proposal_text": ...}).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.commitment id and cited [ids]; drain the queue fully
before taking new work — checkpointed frames are work headless runs saved for you.Rewrites unprofessional code comments into clear ones and performs non-semantic cleanup. Use to professionalize code without altering logic or behavior.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test th
Triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome").
Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
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A hybrid memory system that provides persistent, searchable knowledge management for AI agents.