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/ha-coding-plan

Hope-native implementation planning for non-trivial code changes: ground the plan in repository evidence, order dependencies, name critical files and risks, define verification, then continue execution when allowed.

From plugin
hope-agent
1.9k30 skills

Claude Code

$ npx -y skills add shiwenwen/hope-agent --skill ha-coding-plan --agent claude-code

SKILL.md

ha-coding-plan.SKILL.md
name: ha-coding-plan
description: "Hope-native implementation planning for non-trivial code changes: ground the plan in repository evidence, order dependencies, name critical files and risks, define verification, then continue execution when allowed."
paths: ["*.rs", "*.ts", "*.tsx", "*.js", "*.jsx", "*.py", "*.go", "*.java", "*.kt", "*.swift", "*.c", "*.cpp", "*.h", "*.rb", "*.php", "*.sh"]

Hope Coding Plan

Plan only when planning reduces real uncertainty. A plan is an implementation map, not a ritual and not a substitute for doing the work.

When A Formal Plan Helps

Use a plan when the task has one or more of:

  • Multiple ownership boundaries or dependent steps.
  • Schema, migration, persistence, compatibility, or recovery risk.
  • Ambiguous architecture with several credible approaches.
  • Parallel work that needs explicit isolation and synthesis.
  • Named completion criteria or a long-running Goal.

Skip a formal plan for a small, obvious, reversible edit with a direct check.

Evidence First

Before planning:

1. Read the user request and explicit completion criteria. 2. Read `AGENTS.md`, relevant architecture, current diff, and critical code. 3. Find a similar implementation and trace the owning path. 4. Identify unknowns that materially change the design.

Do not invent files, APIs, tests, or migrations from naming alone.

Plan Contents

Each step should name:

  • Outcome and behavior changed.
  • Critical files or subsystem, without pretending the exact line is known when

it is not.

  • Dependencies and why the order matters.
  • Data, compatibility, permission, concurrency, or rollback risk.
  • Direct verification and completion signal.

Keep steps sized for review and progress tracking, not artificial five-minute chunks. Separate must-have work from optional follow-up.

Modes And Execution

  • In Plan Mode, remain read-only and return the implementation plan.
  • Outside Plan Mode, when the user asked for implementation and the next step is

clear, update task progress and continue. Do not ask "shall I proceed?" merely because a plan exists.

  • Create a plan document only when the user asked for one or the repository

requires a durable design artifact.

  • `/goal` defines the outcome and criteria; this skill designs the current route.
  • Use `ha-workflow-script` only when a durable dynamic script is justified.

Parallelism Decision

Mark steps parallel only when they are independent and have non-overlapping writes or explicit worktree isolation. Use `ha-multi-agent-coding` for execution strategy. A single broad investigation is not a batch fan-out.

Quality Check

Before accepting the plan:

  • Does it preserve user changes and existing contracts?
  • Does every required criterion have an implementation and evidence path?
  • Are risky state transitions and failure recovery covered?
  • Is the plan small enough to execute but complete enough to close?
  • Is the first actionable step clear?

Smoke Prompts

  • "Plan this cross-crate feature, then implement it."
  • "Design a read-only migration plan with rollback and verification."
  • "Turn these completion criteria into an executable coding plan."
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Questions about ha-coding-plan.

Which coding agents can use ha-coding-plan?
ha-coding-plan installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.