skills-planner

skills-planner is a skill for Claude Code, Codex from dp-archive/archive. It costs 68 tokens per session (1,912 once invoked), scanned A, original, Apache-2.0.

A planning tool that chooses which skills, reusable instruction sets for an agent, are needed for a user's requirements. It can match existing skills to capabilities and identify missing ones.

In plain words
What is it for?
Use it to design an agent workflow, select and combine existing skills, identify gaps, and outline new skills that may need to be created.
Why use it?
It helps turn a broad request into the smaller abilities an agent needs. This reduces the chance of overlooking tasks such as data extraction, calculations, or report writing.

Skill for Claude CodeCodex

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

Good fit Use it to design an agent workflow, select and combine existing skills, identify gaps, and outline new skills that may need to be created.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dp-archive/archive/skills-planner
About the project

Skill Compose is an open-source platform for building and running AI agents that use modular skills. It is intended for creating skill-powered agents without workflow graphs or a command-line interface, and the catalogue skills are examples of those agent capabilities.

dp-archive/archive · 1,107 stars · on GitHub

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 dp-archive/archive --skill skills-planner
Clone the repo
git clone --depth 1 https://github.com/dp-archive/archive

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 skills-planner

README.md
[![agentmods](https://agentmods.dev/badge/skills/dp-archive/archive/skills-planner/github.svg)](https://agentmods.dev/skills/dp-archive/archive/skills-planner)
Your own site
<a href="https://agentmods.dev/skills/dp-archive/archive/skills-planner"><img src="https://agentmods.dev/badge/skills/dp-archive/archive/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.

agentmods 80×15 button for skills-planner

Your own site · 80×15
<a href="https://agentmods.dev/skills/dp-archive/archive/skills-planner"><img src="https://agentmods.dev/badge/skills/dp-archive/archive/skills-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,912 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 $0.00068 $0.01912
Opus 5 $0.00034 $0.00956
Sonnet 5 $0.00014 $0.00382
Haiku 4.5 $0.00007 $0.00191

Measured 9d ago against content hash ce9dc9cd36a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

skills-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 9d 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.

seed_skills/skills-planner/SKILL.md · 284 lines

How it starts

The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skills Planner

Plan and compose skills to fulfill user requirements efficiently.

Workflow

  1. Analyze Requirements - Understand user goals and constraints
  2. Evaluate Existing Skills - Match requirements to available skills
  3. Identify Gaps - Determine what capabilities are missing
  4. Design New Skills - Specify requirements for missing skills (if any)
  5. Compose Agent - Design system prompt for the agent using all skills
  6. Present Plan - Output structured plan for user confirmation

Input Requirements

Before planning, gather:

  • User Requirements: What the user wants to accomplish
  • Existing Skills List: Available skills with their descriptions

Planning Process

Step 1: Analyze Requirements

Break down user requirements into discrete capabilities:

User Request: "Build an agent that can analyze financial reports"

Required Capabilities:
1. PDF reading/parsing
2. Data extraction (tables, numbers)
3. Financial metrics calculation
4. Report generation
5. Visualization (charts)

Step 2: Evaluate Existing Skills

For each capability, check if an existing skill covers it:

Capability: PDF reading/parsing
Existing Skill Match: pdf (extracts text/tables from PDFs) ✓

Capability: Financial metrics calculation
Existing Skill Match: None found ✗

Selection Criteria:

  • Prefer skills that directly match the capability
  • Consider skill scope (narrow and focused > broad and generic)
  • Check for overlapping functionality to avoid redundancy

Step 3: Identify Gaps

List capabilities not covered by existing skills. These become candidates for new skills.

Gap Analysis Questions:

  • Is this capability truly necessary, or can existing skills be combined?
  • Can the base model handle this without a skill?
  • Is this capability reusable across other tasks?

Step 4: Design New Skills (if needed)

For each gap, specify:

skill_name: financial-analyzer
skill_requirements: |
  Purpose: Calculate and interpret financial metrics from extracted data

  Core Capabilities:
  - Calculate common ratios (P/E, ROE, debt-to-equity, etc.)
  - Identify trends across time periods
  - Flag anomalies or concerns
  - Generate insights in plain language

  Input: Structured financial data (revenue, expenses, assets, etc.)
  Output: Analysis report with metrics, trends, and recommendations

  Workflow:
  1. Validate input data completeness
  2. Calculate standard financial ratios
  3. Compare to industry benchmarks (if provided)
  4. Identify significant changes or outliers
  5. Generate narrative summary

Read the full file on GitHub · 284 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. 9d ago First seen · 284 lines · 68 tokens per session scan A ce9dc9cd36a8

Subscribe to this mod's changes

skills-planner is a skill published in the GitHub repository dp-archive/archive (1,107 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 1,912 once invoked, about $0.0003 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 2026-08-30.

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