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Shen hua

Skill fengsihao23-eng/shen-hua/skills/shen-hua

A Codex skill pack for long-running project work

Install
npx -y skills add fengsihao23-eng/shen-hua --skill shen-hua

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Top-level Shen-Hua long-task agent entrypoint. Use when the user invokes `$shen-hua` or asks Codex to run the full Shen-Hua workflow for complex project work, including planning, runtime queueing, memory retrieval, subagent orchestration, verification, self-review, handoff, automation preparation, and external-sync preparation.

SKILL.md

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Shen-Hua

Shen-Hua is the single entrypoint for the whole long-task skill pack. Use it as the first skill when the user wants the complete system rather than one specialized step.

Trigger Conditions

Use this skill when:

  • The user invokes $shen-hua.
  • The user asks to use the Shen-Hua system, long-task agent mode, project commander, or full long-task workflow.
  • The task may need planning, queueing, memory, runtime gate, subagents, verification, review, and handoff together.
  • The user wants a project to be advanced end to end, resumed, monitored, or prepared for automation.

Do Not Trigger

Do not use this skill when:

  • The user explicitly invokes a narrower Shen-Hua skill such as $verification-loop and the task is clearly limited to that step.
  • The task is a trivial one-shot answer with no project state.
  • The user forbids reading/updating .agent/ or using the Shen-Hua runtime.

Startup Workflow

  1. Read project rules and memory:

    • AGENTS.md
    • .agent/PROJECT_BRIEF.md
    • .agent/PLAN.md
    • .agent/TASKS.md
    • .agent/HANDOFF.md
    • .agent/state/tasks.jsonl
    • .agent/state/events.jsonl

  2. If runtime files are missing, use $runtime-operator or run:

    py -3 .\.agents\skills\persistent-memory\scripts\shenhua_runtime.py init

  3. Run or consider the runtime gate before substantial work:

    py -3 .\.agents\skills\persistent-memory\scripts\shenhua_runtime.py gate

  4. Classify the user's request:

    • resume: continue from .agent/HANDOFF.md and queue.
    • plan: use $deep-planner.
    • execute: use $project-commander.
    • delegate: use $subagent-orchestrator only when subagents are available and authorized.
    • verify: use $verification-loop.
    • review: use $self-reviewer.
    • handoff: use $handoff-writer.
    • runtime: use $runtime-operator.

Execution Loop

  1. Pick the highest-value safe task from the user request or .agent/state/tasks.jsonl.
  2. Update .agent/state/events.jsonl with what is starting.
  3. Use the narrow skill needed for the current phase:
    • $project-commander for main coordination.
    • $deep-planner before risky multi-file work.
    • $runtime-operator for queue/search/resume/automation/sync.
    • $subagent-orchestrator for permitted multi-agent work.
    • $persistent-memory for memory hygiene.
  4. Make changes conservatively and preserve user edits.
  5. Run $verification-loop or the runtime gate after changes.
  6. Run $self-reviewer before declaring readiness.
  7. Run $handoff-writer before ending.

Required .agent/ Updates

Every Shen-Hua round must update:

  • .agent/LOG.md
  • .agent/TASKS.md
  • .agent/HANDOFF.md
  • .agent/state/events.jsonl

When relevant, update:

  • .agent/PLAN.md
  • .agent/DECISIONS.md
  • .agent/REVIEW_CHECKLIST.md
  • .agent/state/tasks.jsonl
  • .agent/resume-prompt.md
  • .agent/automation-prompt.md
  • .agent/state/sync-export.json

Subagents

Use real subagents only when the user explicitly asks for delegation/parallel agents and the current Codex runtime permits it. Otherwise, simulate the roles locally and record the limitation.

Verification

Before claiming completion, run the strongest applicable check:

py -3 .\.agents\skills\persistent-memory\scripts\shenhua_runtime.py gate

For code projects, also run project-specific build, lint, typecheck, and tests when available.

Output Format

SHEN-HUA STATUS
Mode:
Objective:
Queue:
Actions:
Verification:
Memory updated:
Open risks:
Next action:

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