Results for “signature-replay”

`task-agent`/`review-agent`: use when broker delivery, ordering, acknowledgement, DLQ, backpressure, or replay changes; skip synchronous retry without message semantics.

Self-referential loop until task completion with architect verification

Screens resumes with skill matching, experience evaluation, and bias-free candidate ranking

Rewrite any prompt, instruction, task description, or spec into a "genie-proof" version — instructions so explicit, literal, and loophole-free that even a maliciously literal genie (or an LLM, contractor, or junior dev) could not misinterpret them. Use this skill whenever the user asks to genie-proof, tighten, harden, de-ambiguate, or "make bulletproof" a prompt or instruction; whenever they complain that an AI/model/person "didn't do what I meant," "took me too literally," or "found a loophole"; or whenever they hand over a vague prompt and ask to make it precise, explicit, unambiguous, or idiot-proof. Also trigger on phrases like "wish to a genie," "monkey's paw," "lawyer-proof this prompt," or "leave nothing to interpretation."

Simulator.Company skill registry specialist — the data-driven analogue of these built-in skills. Use when the user wants to RUN a saved playbook ("run skill", "use the … skill", "/skill <slug>", "is there a skill for …", "what skills do I have"), or to AUTHOR one ("create a skill", "save this as a skill / playbook", "teach simulator to …", "make a reusable procedure"). A skill is an actor of the `Skills` system form whose `description` holds a step-by-step procedure (which MCP tools to call, with concrete entity ids) for a workspace-specific task such as "create a smart contract" or "onboard a client". Activate on: "run skill", "use playbook", "is there a skill for", "what skills do I have", "save as skill", "create a skill", "teach simulator", "запусти скіл", "використай скіл", "є скіл для", "які скіли є", "збережи як скіл", "створи скіл", "навчи simulator", "запусти навык", "используй навык", "сохрани как навык", "создай навык".

Compacts the current conversation into a handoff document for another agent to pick up, referencing existing artifacts by path or URL instead of duplicating them.

Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on Codex -p.

Compact the current conversation into a handoff document for another agent to pick up. Save to a user-configured location (OS temp, home folder, or per-project .handoff/), redact secrets before write, suggest skills for the next session, and auto-load the latest handoff on the next SessionStart. First-run setup asks where to save so the project folder never gets cluttered. Use when the user says 'hand this off', 'handoff doc', 'summarize this for a new session', 'compact this conversation', 'I'm ending this session', 'pick this up later', or any variation signaling intent to pass work to a fresh agent. Also trigger on implicit signals: the user announcing they're switching machines, ending the day mid-task, or context is growing long without a natural stopping point.

Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.

Reuse a running Chrome session for browser automation via Playwriter CLI + MCP. Use when the task depends on the browser the user already has open — existing logins, cookies, extensions, passkey-friendly flows, or live-tab continuity. Route repeatable fresh-browser or CI-style checks to `browser-harness` instead.

Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating.