plan

plan is a skill for Claude Code, Codex from akka/ai-marketplace. It costs 16 tokens per session (1,141 once invoked), scanned A, original, Apache-2.0.

A planning workflow that turns a feature specification into implementation design documents. It uses project rules and templates to produce research, data models, contracts, and setup guidance.

In plain words
What is it for?
Use it after specifying a feature to create its implementation plan and supporting design artifacts.
Why use it?
It exposes unknowns and rule conflicts before coding, so implementation work has a clearer technical direction.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after specifying a feature to create its implementation plan and supporting design artifacts.

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Install with agentmods
npx agentmods add skills/akka/ai-marketplace/plan
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add akka/ai-marketplace --skill plan
Clone the repo
git clone --depth 1 https://github.com/akka/ai-marketplace

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/akka/ai-marketplace/plan/github.svg)](https://agentmods.dev/skills/akka/ai-marketplace/plan)
Your own site
<a href="https://agentmods.dev/skills/akka/ai-marketplace/plan"><img src="https://agentmods.dev/badge/skills/akka/ai-marketplace/plan/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/akka/ai-marketplace/plan"><img src="https://agentmods.dev/badge/skills/akka/ai-marketplace/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,141 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.01141
Opus 5 $0.00008 $0.00571
Sonnet 5 $0.00003 $0.00228
Haiku 4.5 $0.00002 $0.00114

Measured yesterday against content hash 3f3c0dea9716, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/plan/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

You MUST consider the user input before proceeding (if not empty).

Outline

  1. Setup: Call the akka_sdd_list_specs MCP tool to find the target feature. Then call akka_sdd_get_template with template_name="plan" to get the plan template. Identify the feature's spec path (FEATURE_SPEC) and plan destination (FEATURE_DIR/plan.md).

  2. Load context: Read FEATURE_SPEC and akka_sdd_constitution. Load IMPL_PLAN template (already copied).

  3. Execute plan workflow: Follow the structure in IMPL_PLAN template to:

    • Fill Technical Context (mark unknowns as "NEEDS CLARIFICATION")
    • Fill Constitution Check section from constitution
    • Evaluate gates (ERROR if violations unjustified)
    • Phase 0: Generate research.md (resolve all NEEDS CLARIFICATION)
    • Phase 1: Map domain concepts to Akka components (Component Architecture table), then generate data-model.md, contracts/, quickstart.md
    • Re-evaluate Constitution Check post-design
  4. Stop and report: Command ends after Phase 2 planning. Report branch, IMPL_PLAN path, and generated artifacts.

Phases

Phase 0: Outline & Research

  1. Extract unknowns from Technical Context above:

    • For each NEEDS CLARIFICATION → research task
    • For each dependency → best practices task
    • For each integration → patterns task
  2. Generate and dispatch research agents:

    For each unknown in Technical Context:
      Task: "Research {unknown} for {feature context}"
    For each technology choice:
      Task: "Find best practices for {tech} in {domain}"
    
  3. Consolidate findings in research.md using format:

    • Decision: [what was chosen]
    • Rationale: [why chosen]
    • Alternatives considered: [what else evaluated]

Output: research.md with all NEEDS CLARIFICATION resolved

Phase 1: Design & Contracts

Prerequisites: research.md complete

  1. Map domain concepts to Akka components → the Component Architecture table in plan.md:
    • Read the "Choosing a component type" section in akka-context/sdk/components/index.html.md (first time in session) before mapping
    • For each domain concept, process, and query in the spec, choose the component per the decision guide: entity type (Key Value vs Event Sourced), Workflow vs Consumer, whether a View is needed, endpoint type, or a plain domain class instead of a component
    • Record every choice in the table with the reason. Where the decision guide names a close alternative (entity type, view vs direct entity read, workflow vs consumer, timed action vs workflow timer), also record the rejected alternative and why it was not chosen
    • ERROR if a close-call row lacks the rejected alternative

Read the full file on GitHub · 92 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday Changed · +7 lines 3f3c0dea9716
  2. 10d ago First seen · 85 lines · 16 tokens per session scan A bf31c9e4ed67

Subscribe to this mod's changes

plan is a skill published in the GitHub repository akka/ai-marketplace (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 16 tokens to every session and 1,141 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.