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Execution Plan Scripts

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peterbamuhigire
execution-plan-scripts

Use when converting an approved long-running plan into self-contained execution prompts across sessions or workers. Covers dependency order, checkpoints, capability fallback and evidence handoff; use world-class-engineering for a single implementation slice.

Overview

Publisherpeterbamuhigire
Repositorychwezi-dev-engine
Skill nameexecution-plan-scripts
Stars
29
Forks
6
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by peterbamuhigire on GitHub. Read the source before you install it.

Installation

Install the Execution Plan Scripts AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/peterbamuhigire/chwezi-dev-engine/tree/main/skills/execution-plan-scripts
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/peterbamuhigire/chwezi-dev-engine.git /tmp/chwezi-dev-engine
mkdir -p .claude/skills
cp -r /tmp/chwezi-dev-engine/skills/execution-plan-scripts .claude/skills/execution-plan-scripts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Execution Plan Scripts in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Execution Plan Scripts on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Execution Plan Scripts is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Execution Plan Scripts

Required Inputs

InputOwnerIf absent
Approved plan, current task states and acceptance criteriaTask ownerDraft the plan before generating execution prompts
Repository instructions, actual skill inventory and supported capabilitiesExecuting environmentDiscover them; do not assume a named plugin or tool exists
Dependency edges, file ownership and last verified checkpointCoordinatorSequence dependent work and resolve overlapping writes
Existing authorisation and external-action limitsUser and host policyCarry forward the existing scope; stop only for work outside it

Capability contract

Authoring needs read/search access to the plan and skill catalogue. Editing requires the user's plan-authoring scope. Execution and delegation are optional: produce sequential prompts when workers are unavailable. A process plugin may refine the workflow when installed; its absence does not block the same approved workflow through available tools. Keep vendor-specific invocations in an adapter.

Degraded mode

When an optional tool or process skill is unavailable, preserve the task and substitute its documented capability equivalent. When a required source, test environment or credential is unavailable, mark the affected acceptance evidence NOT ASSESSED and continue independent work. Never convert a missing required test into an expected failure solely to obtain a green suite.

Decision rules

ConditionPrompt designEvidence required
A task consumes another task's outputRun after the producer's acceptance gateProducer artefact and result
Independent tasks have disjoint write sets and delegation is availableAssign one owner per write setReconciled diffs and worker results
A slice delivers one end-to-end user outcomeRepresent it as a tracer-bullet node with explicit blocking edgesRunnable thin-slice evidence
A live contract or schema cannot change atomicallyUse expand-contract nodes and preserve a green compatibility boundaryVersion-skew and rollback tests
Delegation or a named process plugin is unavailableExecute the same tasks sequentiallySame acceptance criteria and checkpoint
A session is resumed or compactedRead the checkpoint and inspect current stateRemaining work, prior results and user corrections
A requested action exceeds existing authorityComplete independent preparation, then request that specific authorityReviewable proposed action and scope boundary

Workflow

  1. Read the plan, user corrections and repository instructions; enumerate the actual skills and capabilities.
  2. Partition the plan into tracer-bullet nodes that cross the necessary layers for one useful outcome. Record blocking edges, query the current runnable frontier, and use expand-contract for wide live changes. Keep the coordinator's next blocking task local; delegate independent work only where supported.
  3. Write self-contained prompts using the anatomy below. Use available process skills when they add value; never prescribe unavailable vendor tools.
  4. Record exact acceptance commands, expected behaviour, negative cases, unresolved prerequisites and the recovery point.
  5. Verify the prompts against the plan: every task has an owner, required inputs, output, acceptance evidence and a checkpoint.

Quality Standards

Prompts must preserve existing authorisation, user corrections and incomplete work across sessions. Completion requires observed acceptance evidence; a tool invocation, a generated file or an unexecuted test is not completion.

About this skill (self-awareness)

This skill is itself a member of the domain engine — the same library of craft skills it instructs you to reference when authoring a script. It is the meta-skill for the planning and documentation surface of software and app development. Other engine members (e.g. mysql-best-practices, php-security, healthcare-ui-design, android-development, swiftui-design, multi-tenant-saas-architecture) are the implementation surface.

Because it lives inside the engine, this skill MUST:

  1. Discover siblings dynamically. Do not paste a static list of available skills into a script. Instead, enumerate the skills library at author-time and pick the relevant ones by name. On any environment, the listing command is whatever the local CLAUDE.md / AGENTS.md / GEMINI.md documents (e.g. ls $SKILLS_HOME or ls <web-dev-library>/skills/). The author session runs the command, reads the listing, picks the relevant skill names, and quotes them by name in the script.
  2. Refer to siblings by name only. This skill never paths to a sibling (/Users/.../skills/mysql-best-practices/SKILL.md) — it names it (mysql-best-practices). The executor's environment resolves the path.
  3. Refresh its category knowledge each use. New skills land in the library all the time. Treat the categories table at the bottom of this file as a stable taxonomy of kinds of skill (security, db, ui, mobile, etc.) — not a frozen registry of skill names. Re-list the library before authoring.
  4. Self-load when relevant. Whenever a plan or runbook is being written or executed for software/app development, this skill SHOULD be loaded — the project's CLAUDE.md "mandatory pairings" entry for execution-plan-scripts enforces this. If a sibling skill is being applied to a multi-prompt deliverable, this skill is its companion.

Use When

  • A plan has more open tasks than one session can credibly execute (rule of thumb: > ~30 tasks, or > 10 file surfaces, or mixes web + mobile + infra).
  • The work crosses dependency boundaries that benefit from session-level checkpoints (operator review between prompts).
  • Subagents will be dispatched from inside one or more of the prompts (per-prompt fan-out).
  • The deliverable is a runnable script (a markdown file the operator pastes prompt-by-prompt), not the implementation itself.
  • A sibling domain skill is being applied to a multi-prompt workstream — this skill is the companion that wraps it.

Do Not Use When

  • The task is a single implementation slice: use world-class-engineering with the applicable domain skill.
  • The work is open-ended discovery: use product-discovery before writing execution prompts.
  • No written plan exists: define scope, dependencies and acceptance criteria first.

The Two-Engine Skills Model

Each prompt distinguishes domain guidance from optional process guidance:

EnginePurposeHow to enumerate
Process engine (e.g. superpowers:*)HOW work is done — TDD cadence, subagent fan-out, verification gates, code reviewLoaded by the host platform (Claude Code plugin manager / Codex / Gemini CLI). The session lists them via the platform's skill discovery (Skill tool listing, /skills, etc.).
Domain engine (the craft library this skill lives in)WHAT good looks like — language standards, framework patterns, security baselines, UX rulesThe session lists them by enumerating the library's skills/ directory. Path is resolved from the local environment's CLAUDE.md / AGENTS.md / GEMINI.md — never hardcoded.

Author-time discipline:

  1. Discover the domain catalogue and any installed process guidance before writing the script; do not assume plugins exist.
  2. Pick by name — the author session quotes only the names that apply to each prompt.
  3. Re-quote in subagent prompts — subagents do not inherit the parent session's skill state, so each subagent prompt repeats the names it needs.
  4. Never path — a name in this script is a contract that the executor will resolve to a path on its own machine.

Process-engine examples (current as of this skill's last edit; the host platform is authoritative):

superpowers:executing-plans, superpowers:test-driven-development, superpowers:subagent-driven-development, superpowers:dispatching-parallel-agents, superpowers:verification-before-completion, superpowers:systematic-debugging, superpowers:requesting-code-review, superpowers:receiving-code-review, superpowers:brainstorming, superpowers:writing-plans, superpowers:finishing-a-development-branch.

Domain-engine taxonomy (kinds, not a frozen registry — re-list the library at author-time):

Security · API contract · Database/migration · Multi-tenancy/RBAC · Web UI/UX · Mobile (Android / iOS / KMP) · Healthcare-UI / domain-UX · Performance · Testing/SDLC · DevOps/CI · Content/i18n · Architecture.

This skill (execution-plan-scripts) sits in the SDLC + Architecture corner of the domain engine. When you author a script, list its siblings and pick from the categories above — do not work from a frozen list inside this file.

Path-Resolution Rule (cross-platform)

Never hardcode the skills library location. Each environment (mac, linux, windows, codespaces, CI) keeps its own CLAUDE.md/AGENTS.md/GEMINI.md (or equivalent) that tells the executing session where its skills live. The execution-plan script only quotes skill names; the executor resolves them.

In your script, write:

Read these skills in full before any code: mysql-best-practices, php-security, multi-tenant-saas-architecture, vibe-security-skill, sdlc-testing, healthcare-ui-design, api-error-handling.

NOT:

Read /Users/alice/skills/mysql-best-practices/SKILL.md …

The executor finds the file by following the path rule its own environment defines (e.g. macOS: ~/Sites/chwezi-dev-engine/skills/<name>/SKILL.md; Linux dev box: ~/skills-lib/<name>/SKILL.md; CI: $SKILLS_HOME/<name>/SKILL.md). Skill names are stable; paths are not.

Prompt Anatomy

Every prompt in the script follows this structure:

## Prompt N — <one-line scope>

You are in . Read these files first, in this order:

  1. /CLAUDE.md
  2. /INDEX.md
  3. /AGENT_BRIEF.md (or equivalent invariants doc)
  4. /README.md
  5. /plan.md (focus: lines A–B if a sub-range)

Then load the available skills in order, before implementation:

Process guidance (only skills verified as available): - -

Read these domain skills in full (resolve paths from your environment): - - - <healthcare-ui-design or other PRIMARY skill, re-read per page Task>

Track each task with the host's task facility or the plan's status register.

Work plan:

A.

B. — delegate through the available worker capability, or execute sequentially. Each worker prompt MUST include: - The Task IDs and plan.md line ranges it owns - The exact list of domain skills to read first (by NAME) - The file scope it is allowed to touch - Acceptance checks and the existing commit/publication boundary - Subagents do NOT inherit the parent's skill state — re-state every skill name.

C. Verification gate (no claim without evidence): <exact commands to run, with expected green outcome>

D. Status updates in plan.md (- [ ] **Status:** pending → - [x] complete (<hash>))

E. Final report ≤200 words: commits, tests added, deviations.

Do NOT push. Do NOT touch other phases. Do NOT modify INDEX until the phase's final prompt.

Fan-Out Rules

  • Bucket subagents by file scope. Two subagents must never write to the same file. If they would, fold them into one subagent or split the file first.
  • Batch independent work where supported. Use the host's available worker capability; execute sequentially when it is unavailable.
  • State the file scope explicitly. Allowed: src/Imaging/Services/*, tests/Unit/Imaging/*. Forbidden: anything else. Subagents will respect a clear scope.
  • Re-inject skills. Every subagent prompt repeats the skill names it must read. They do not inherit parent skill state.
  • Cap fan-out at ~7. Beyond that, results are hard for the parent session to review. Split into two prompts.

Sequencing Rules

  • Critical-path serial. If Prompt N produces an artefact (frozen API spec, schema, design tokens) consumed by Prompt N+1, run them in order.
  • Independent siblings. When two phases have no shared state, they can be siblings — but still keep them as separate prompts so the operator can review between.
  • No prompt pushes. Push, PR, and release decisions live with the operator after the final prompt completes.
  • Final prompt is always cleanup. Static analysis, security audit, multi-tenant leak hunt, i18n parity, dead-code/yellow-flag sweep, INDEX flip. Never bury this work inside a feature prompt.

Verification Gate (per prompt)

Every prompt ends with the same gate, drawn from superpowers:verification-before-completion:

Run and capture output verbatim:
    <test-suite command>
    <static-analysis command>
    <linter command>
    <multi-tenant / leak / parity grep>
Fix failed checks within the authorised scope. If blocked by a missing source,
environment or new authority, preserve the failure, continue independent work
and leave the dependent task incomplete with a recovery checkpoint.

A "done" claim without the output pasted is forbidden.

Operator-Action Surfacing

Some work needs human-only steps (signing keys, cloud accounts, real-device tests, App Store / Play Console). The script must:

  1. Surface the prerequisite at the top of the prompt that needs it.
  2. Use existing authorisation and capabilities; ask only when a required input cannot be recovered or a materially different action needs new authority.
  3. If unavailable, record NOT ASSESSED with its release consequence. Keep real failures failing; do not insert xfail or ignored-test annotations to hide missing evidence. Continue work that does not depend on the prerequisite.

Never silently skip operator actions.

Index / Status Hygiene

  • Phase Tasks: every prompt flips - [ ] **Status:** pending to - [x] **Status:** complete (<hash>) at the end.
  • Phase status in INDEX.md: only the last prompt of a phase flips the row to complete.
  • Authoring-progress log in INDEX.md: append a dated entry referring to the session.
  • Memory layer: only the cleanup prompt may write to long-term memory (frozen-contract pointer, post-launch follow-ups location).

Anti-Patterns

  • Hardcoded skill paths (/Users/alice/skills/...) — environments differ.
  • Operator commands that run through a skills, scratch, or temp directory, or that need a path argument - each must be one short line (see rules/common/user-run-scripts.md).
  • Skill names in the script header but not re-stated in subagent prompts — subagents lose them.
  • A single mega-prompt covering > ~30 Tasks — context exhaustion, lost discipline.
  • Verification commands omitted "to keep the prompt short" — verification is the prompt.
  • Fan-out without file-scope — subagents collide on the same file.
  • Final prompt without static analysis + security audit + INDEX flip.
  • Pushing or merging from inside a prompt — operator decides.
  • Re-implementing scaffolded code "to be clean" instead of verifying what's there (violates TDD's iron law against tests-after-code).

Authoring Checklist

Before handing the script to the operator, verify:

  • Every prompt names verified domain skills and any available process skills it needs.
  • No absolute path to a skill file appears anywhere in the script.
  • Every command the operator must run is one short line (package script, ./scripts/<name>, or a bare command on PATH); none goes through a skills, scratch, or temp directory.
  • Every fan-out subagent prompt re-injects the skill names it needs.
  • Every fan-out has explicit, non-overlapping file scope.
  • Every prompt ends with a verification gate that names exact commands.
  • Operator-action prerequisites are surfaced at the top of the affected prompt with a STOP-and-ask instruction.
  • The final prompt does cleanup: static analysis, security audit, multi-tenant leak hunt, i18n parity, dead-code/yellow-flag sweep, INDEX flip, memory write.
  • No prompt pushes, force-pushes, or opens PRs.
  • Status updates: each prompt flips its Task statuses; only the last prompt of a phase flips the phase row in INDEX.md.
  • The script preface lists the sequence overview as a table (prompt #, scope, parallelism, subagent count) so the operator sees the shape at a glance.

Companion skills (named, not pathed)

The companions below are the kinds of skill you will most often pair with this one. Re-enumerate the library at author-time to confirm names and discover new arrivals — never work from this list as a frozen registry.

  • superpowers:writing-plans or feature-planning — author the underlying plan first.
  • implementation-status-auditor (its ../sdlc-meta/implementation-status-auditor/references/plan-implementation.md method) — what each prompt follows when it runs; superpowers:executing-plans is an optional helper where that plugin is installed.
  • superpowers:subagent-driven-development — fan-out discipline.
  • superpowers:dispatching-parallel-agents — when to parallelise.
  • superpowers:verification-before-completion — the closing gate of every prompt.
  • sdlc-testing — test pyramid + RED→GREEN→COMMIT cadence the prompts enforce.
  • code-safety-scanner — used in the cleanup prompt.
  • web-app-security-audit — used in the cleanup prompt.
  • The relevant domain skills for the workstream (security, db, framework, UI, mobile, etc.) — picked by enumerating the library each time.

Outputs

  • A markdown file (e.g. docs/<scope>/clear-debt.md, docs/runbooks/<release>.md) containing:
    • Preface (purpose, how-to-use, sequence-overview table, hard-rule for skills).
    • A "Skills Engine" section that names the two engines and lists which skills apply where.
    • N self-contained prompts (each runnable in a fresh session, never assuming prior conversation context).
    • Operator notes (run order, no-push rule, prerequisite list, deferred-test policy).

References

Use the companion skills above only after confirming their names in the current catalogue. The local world-class-engineering skill owns implementation gates; implementation-status-auditor checks plan evidence. Illustrative plugin names above are not installation requirements.

Evidence Produced

CategoryArtifactFormatExample
CorrectnessTask-to-prompt coverage with dependencies and acceptance checksMarkdown tableEach approved task maps to one owner and a verification command
OperabilityResume checkpoint and capability fallbackMarkdownCompleted task evidence, remaining tasks and sequential worker fallback
Release evidenceVerification results and unresolved prerequisitesMarkdownFailed or unavailable checks remain visible with their release consequence

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Execution Plan Scripts AI skill do?

Use when converting an approved long-running plan into self-contained execution prompts across sessions or workers. Covers dependency order, checkpoints, capability fallback and evidence handoff; use world-class-engineering for a single implementation slice.

Why use Execution Plan Scripts on TypingMind?

Because you install it once and use it with any model. Execution Plan Scripts is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Execution Plan Scripts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/peterbamuhigire/chwezi-dev-engine/tree/main/skills/execution-plan-scripts. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Execution Plan Scripts?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Execution Plan Scripts?

As many as you like. As long as a model supports skills, you can use Execution Plan Scripts with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Execution Plan Scripts AI skill free?

Yes. It is published on GitHub by peterbamuhigire under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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