agentleFS
adrianoanthonymma16-boopadrianoanthonymma16-boop/opencode-agents/skills/gsd-plan-review-convergence/SKILL.md

gsd-plan-review-convergence

Skill1 starsChanged 58 days agoMITView on GitHub

Cross-AI plan convergence - replan until review concerns are resolved.

4 other projects use a version of this, 4 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 4 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Copilot (VS Code): Use vscode_askquestions wherever this workflow calls question.

    line 25

“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<objective> Cross-AI plan convergence loop — an outer revision gate around gsd-review and gsd-planner. Repeatedly: review plans with external AI CLIs → if HIGH or actionable non-HIGH concerns remain → replan with --reviews feedback → re-review. Stops when no unresolved HIGH concerns or actionable MEDIUM/LOW findings remain outside PLAN.md, or when max cycles is reached.

Flow: Skill("gsd-plan-phase") → Agent→Skill("gsd-review") → check unresolved HIGH + actionable non-HIGH → Skill("gsd-plan-phase --reviews") → Agent→Skill("gsd-review") → ... → Converge or escalate

Replaces gsd-plan-phase's internal gsd-plan-checker with external AI reviewers (codex, gemini, etc.). Plan-phase runs inline (bare Skill at depth 0) so it can spawn gsd-planner/gsd-plan-checker at depth 1. Review runs inside an isolated Agent (gsd-review is a Bash leaf — no sub-agents needed). Orchestrator only does loop control.

Orchestrator role: Parse arguments, validate phase, run plan-phase inline (Skill at depth 0), spawn an Agent for gsd-review, check unresolved HIGH and actionable non-HIGH counts, stall detection, escalation gate. </objective>

<execution_context> @/home/tony/.config/opencode/gsd-core/workflows/plan-review-convergence.md @/home/tony/.config/opencode/gsd-core/references/revision-loop.md @/home/tony/.config/opencode/gsd-core/references/gates.md @/home/tony/.config/opencode/gsd-core/references/agent-contracts.md </execution_context>

<runtime_note> Copilot (VS Code): Use vscode_askquestions wherever this workflow calls question. They are equivalent — vscode_askquestions is the VS Code Copilot implementation of the same interactive question API. Do not skip questioning steps because question appears unavailable; use vscode_askquestions instead. </runtime_note>

<context> Phase number: extracted from $ARGUMENTS (required)

Flags:

  • --codex — Use Codex CLI as reviewer (default if no reviewer flag given AND review.default_reviewers is unset; otherwise review.default_reviewers wins per ADR-0011 — #2315)
  • --gemini — Use Gemini CLI as reviewer
  • --agy / --antigravity — Use Antigravity CLI as reviewer (successor to the discontinued Gemini CLI)
  • --claude — Use the agent CLI as reviewer (separate session)
  • --coderabbit — Use CodeRabbit as reviewer (reviews the working-tree diff, not the source tree)
  • --opencode — Use OpenCode as reviewer
  • --qwen — Use Qwen Code CLI as reviewer (Alibaba Qwen models)
  • --cursor — Use Cursor agent as reviewer
  • --ollama — Use local Ollama server as reviewer (OpenAI-compatible, default host http://localhost:11434; configure model via review.models.ollama)
  • --lm-studio — Use local LM Studio server as reviewer (OpenAI-compatible, default host http://localhost:1234; configure model via review.models.lm_studio)
  • --llama-cpp — Use local llama.cpp server as reviewer (OpenAI-compatible, default host http://localhost:8080; configure model via review.models.llama_cpp)
  • --kimi-code — Use Kimi Code CLI as reviewer (Moonshot AI)
  • --all — Use all available CLIs and running local model servers
  • --max-cycles N — Maximum replan→review cycles (default: 3)

Feature gate: This command requires workflow.plan_review_convergence=true. Enable with: gsd config-set workflow.plan_review_convergence true </context>

<process> Execute end-to-end. Preserve all workflow gates (pre-flight, revision loop, stall detection, escalation). </process>

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.