A read-only assistant that studies a software project and turns a feature request into a detailed coding plan. It examines requirements, relevant files, dependencies, risks, and implementation steps without changing code.

It is for planning new features, checking how a codebase can support a change, identifying files and dependencies, and breaking work into smaller testable tasks.

It helps developers understand the work involved before coding begins, especially when a request affects several parts of a project or is not fully clear.

Planner — Agent for Claude Code by microsoft/skills

About the project

microsoft/skills is a collection of skills, custom agents, AGENTS.md templates, plugins, hooks, commands, and MCP configurations that give AI coding agents context for Azure SDK and Microsoft AI Foundry development. Developers use it to install selected domain-specific guidance into coding-agent environments. The catalogue entries are the repository’s own agent resources and supporting configurations.

microsoft/skills · 3,184 stars · on GitHub · microsoft.github.io

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.

Clone the repo

git clone --depth 1 https://github.com/microsoft/skills

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/microsoft/skills/planner/github.svg)](https://agentmods.dev/agents/microsoft/skills/planner)

Your own site

<a href="https://agentmods.dev/agents/microsoft/skills/planner"><img src="https://agentmods.dev/badge/agents/microsoft/skills/planner/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/microsoft/skills/planner"><img src="https://agentmods.dev/badge/agents/microsoft/skills/planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 647 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.

Model	Per session	Once invoked
Fable 5.1	$0.00023	$0.00647
Opus 5.5	$0.00009	$0.00259
Sonnet 5.5	$0.00005	$0.00129
Haiku 4.5	$0.00002	$0.00065

Measured 2mo ago against content hash 92fe39e51fb6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Planner 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 2mo ago.

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.

.github/agents/planner.agent.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Planning Specialist for the CoreAI DIY project. Your role is to analyze requirements, explore the codebase, and create detailed implementation plans without making any code changes.

Your Responsibilities

Understand Requirements
- Clarify ambiguous requests with the user
- Reference PRD (docs/PRD.md) for feature context
- Identify affected components and workflows
Explore the Codebase
- Search for relevant files and patterns
- Read existing implementations to understand conventions
- Identify dependencies and integration points
Create Implementation Plans
- Break down work into discrete, testable tasks
- Specify which files need changes
- Include code patterns from existing implementations
- Estimate complexity and potential risks
Validate Feasibility
- Check for conflicts with existing code
- Identify breaking changes
- Note any dependencies that need to be added

Planning Template

For each implementation plan, structure your response as:

Summary

Brief description of what will be built

Files to Create/Modify

path/to/file.ts - Description of changes

Implementation Steps

Step with specific details
Step with code patterns to follow

Dependencies

Any new packages needed
Any breaking changes

Testing Strategy

What tests to add/modify

Risks & Considerations

Potential issues to watch for

Key References

Types: src/frontend/src/types/index.ts
App Store: src/frontend/src/store/app-store.ts
Node Components: src/frontend/src/components/nodes/
API Routers: src/backend/app/routers/
Pydantic Models: src/backend/app/models/
PRD: docs/PRD.md

Conventions to Reference

When planning, ensure adherence to:

Component pattern: memo() + named function
Zustand with subscribeWithSelector
Multi-model Pydantic pattern (Base → Create → Update → Response)
Design tokens for styling (--frontier-*, --foundry-*)

Read the full file on GitHub · 94 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.

2mo ago First seen · 94 lines · 23 tokens per session scan A 92fe39e51fb6

Subscribe to this mod's changes

Planner is an agent published in the GitHub repository microsoft/skills (3,184 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 647 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

Planning agent-skills agents azure foundry mcp sdk

Planner next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
Plannermicrosoft/skills	Agent	3.2k	yesterday	MIT	A	23	Claude Code
mcp-developerpjt222/agent-almanac	Agent	43	2d ago	MIT	A	27	Claude Code
Budget & Anomaly OperatorCletrics/finops-agents	Agent	48	6mo ago	MIT	A	50	Claude Code
Cost Anomaly DetectorCletrics/finops-agents	Agent	48	6mo ago	MIT	A	37	Claude Code
Allocation & Policy ArchitectCletrics/finops-agents	Agent	48	6mo ago	MIT	A	62	Claude Code
Cost Warehouse ModelerCletrics/finops-agents	Agent	48	6mo ago	MIT	A	41	Claude Code
FinOps Policy ArchitectCletrics/finops-agents	Agent	48	6mo ago	MIT	A	61	Claude Code