team-pm

team-pm is a skill for Claude Code from huuanh20/awesome-ai-agent-skills. It costs 58 tokens per session (3,047 once invoked), scanned A, original, MIT.

A project-manager and Scrum Master role for a virtual software team. It turns requirements and technical architecture into a sprint schedule and task breakdown.

In plain words
What is it for?
Use it to organize user stories into sprints, estimate their effort in story points, sequence the work, and track each sprint task.
Why use it?
It gives the team an ordered list of implementation tasks with estimates, so work can start with less planning overhead.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: names the TodoWrite tool; installed under .agents/ (shared by several agents).

Good fit Use it to organize user stories into sprints, estimate their effort in story points, sequence the work, and track each sprint task.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/huuanh20/awesome-ai-agent-skills/team-pm
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 huuanh20/awesome-ai-agent-skills --skill team-pm
Clone the repo
git clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-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.

agentmods badge for team-pm

README.md
[![agentmods](https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-pm/github.svg)](https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/team-pm)
Your own site
<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/team-pm"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-pm/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 team-pm

Your own site · 80×15
<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/team-pm"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-pm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,047 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 $0.00058 $0.03047
Opus 5 $0.00029 $0.01523
Sonnet 5 $0.00012 $0.00609
Haiku 4.5 $0.00006 $0.00305

Measured 12d ago against content hash 116a4991157a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

team-pm 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 12d 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.

.agents/skills/team-pm/SKILL.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

team-pm

You are the PM (Project Manager / Scrum Master) on a virtual enterprise software development team.

Your responsibilities: read the BA user stories and TechLead architecture, then produce a sprint-based execution plan. Break stories into tasks, estimate story points, and create a sprint schedule that gives the development team a clear, sequenced roadmap. You work quickly and precisely — planning overhead should be minimal so the team can start building.


Step 0 — Parse Parameters

  • --project {slug} — project identifier. If not provided, use CWD name. Confirm: "Using project slug: {slug}. Continue? (y/n)"
  • --level {level} — project depth level (fresh | junior | mid | senior). Passed from orchestrator. Used as fallback if config is unreadable.
  • --context "{text or path}" — extra context. If starts with ./ or /, read as file. Otherwise inline text. Prepend to analysis; do NOT write to artifacts.

Step 1 — Load Context Chain

Use the Read tool to read ALL BA and TechLead artifacts:

BA artifacts:

  1. projects/{slug}/team/ba/requirements.md
  2. projects/{slug}/team/ba/user-stories.md
  3. projects/{slug}/team/ba/acceptance-criteria.md
  4. projects/{slug}/team/ba/business-rules.md

TechLead artifacts: 5. projects/{slug}/team/techlead/architecture.md 6. projects/{slug}/team/techlead/tech-stack.md 7. projects/{slug}/team/techlead/ERD.md 8. Use Glob tool: projects/{slug}/team/techlead/ADR-*.md → read all ADR files found

If BA or TechLead artifact directories are missing → output error and STOP.


Step 1.5 — Level Calibration

Use the Read tool: projects/{slug}/team/.project-config.md

  • If exists: extract **level:** from ## Project. This is the authoritative level.
  • If missing: use --level arg from Step 0. If also missing → output error and STOP:
    [PM] ✗ No project configuration found. Run /team-ba first to initialize level config.
    

PM quality is ALWAYS senior — level adjusts estimation parameters only.

Read the full file on GitHub · 309 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. 12d ago First seen · 309 lines · 58 tokens per session scan A 116a4991157a

Subscribe to this mod's changes

team-pm is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 3,047 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 2026-08-31.

Related

Other skills, from other repositories

ax-extract-workflow

Reconstructs the workflow behind a shipped artifact from ax session evidence, commits, and PR context. Use when asking what made a feature, fix, demo, or PR work, or when turning a past success into a repeatable recipe.

ishandutta2007/Awesome-Agent-Skills · 54 tokens

himalayas-employer

AI hiring assistant for Himalayas. Post remote jobs, manage company profiles, source talent, message candidates, and benchmark salaries using the Himalayas MCP server.

Himalayas-App/himalayas-mcp · 37 tokens

Linear

Managing Linear issues, projects, and teams. Use when working with Linear tasks, creating issues, updating status, querying projects, or managing team workflows.

eric861129/SKILLS_All-in-one · 32 tokens

kanban-markdown

Create, read, update, move, and manage kanban board feature files backed by markdown with YAML frontmatter. Use when working with kanban boards, task/feature tracking, .devtool/features/ directories, feature files with status/priority frontmatter, or any project management tasks involving markdown-based kanban…

eric861129/SKILLS_All-in-one · 70 tokens

linear

Work with Linear issues via CLI - use this skill whenever the user asks about Linear issues, creating, updating, commenting on, or deleting issues, or checking issue status and details.

eric861129/SKILLS_All-in-one · 37 tokens

atlassian-mcp

Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use when querying Jira issues with JQL filters, creating and updating tickets with custom fields, searching or editing Confluence pages with CQL, managing sprints and backlogs, setting up MCP server authentication…

eric861129/SKILLS_All-in-one · 75 tokens