agent-deck

AI Community
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Terminal session manager for AI coding agents. Use when user mentions "agent-deck", "session", "sub-agent", "MCP attach", "git w…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “Script Path Resolution (IMPORTANT)”, “Quick Start”, “Capabilities”, “Essential Commands”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name agent-deck directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “Script Path Resolution (IMPORTANT) / Quick Start / Capabilities” before expanding.

Boundaries And Review

  • Dependencies: Prepare Vendor-specific API keys before running a full task.
  • Permissions: Declared permissions include read / write / shell-exec / env-read; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.
Fluxly profile Author and license come from source; runtime, permissions, and network are Fluxly detections or estimates
Fluxly category
AI
Author-declared agents
No explicit declaration found; this is not inferred or tested compatibility
Static check
88 / 100 · heuristic scan, not runtime safety proof
Author / version / license
@asheshgoplani · no license declared
Fluxly token estimate
Heavy
Fluxly setup estimate
Manual integration
External API key
Required · Vendor-specific
Detected OS requirements
macOS · Linux
Runtime requirements
Bun · Python
Detected file/system behavior
  • Read-only
  • Write / modify
  • Shell exec
  • Env read
Detected network behavior
External requests
Install commands
None (reference only)

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools,默认拥有全部工具权限。

Output preview agent-deck.preview
# Concrete examples from 2026-05-18 (the day this section was baked in)

1. **PR #885 over-claim.** A worker review reported "merge-ready; clean diff". Independent local re-test (`gh pr checkout 885 && go test -race ./...`) caught 2 failing tests. The reviewer had grepped the diff for obvious issues but never ran the suite. Lesson: code-review confidence ≠ test pass.
2. **ux-rethink-path verdict false-positive.** The ux-rethink-path worker reported "merge as-is; clean diff" for #885. User asked for a second look; a fresh peer verifier caught the same 2 failing tests the original worker missed. Lesson: reviewer + author in the same session-tree share priors. A peer session re-derives.
3. **Goal framework "metronome wakes".** The conductor's hourly wake cycles were firing `[STATUS]` replies with no actual work — the wake-loop had degenerated into a heartbeat instead of a do-work loop. User had to flag it manually. Lesson: a worker that hasn't run a ground-truth check since the last wake is not a working worker, it's a metronome. Bake the priority-0 check (below) into the wake template so this can't recur.

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