pmm-okrs

pmm-okrs is a skill for Claude Code from stefanoskarakasis/Product-Marketing-Skills. It costs 130 tokens per session (2,951 once invoked), scanned A, original, MIT.

A guided tool for creating quarterly OKRs for product-marketing teams. OKRs are Objectives and Key Results: a goal paired with measurable results that show whether the goal was reached.

In plain words
What is it for?
Use it to set or review quarterly goals, build a measurement scorecard, and prepare an executive summary. It produces objectives, key results, projects, and metrics.
Why use it?
It turns a team’s plans into measurable goals that can be reviewed by managers and executives. It also helps find key results that are too vague to assess.

Skill for Claude Code

Written for Claude Code: Claude Code plugin machinery.

Part of the pmm-execution plugin — 8 skills, 8 commands shipped together

Good fit Use it to set or review quarterly goals, build a measurement scorecard, and prepare an executive summary. It produces objectives, key results, projects, and metrics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stefanoskarakasis/product-marketing-skills/pmm-okrs
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 stefanoskarakasis/Product-Marketing-Skills --skill pmm-okrs
Clone the repo
git clone --depth 1 https://github.com/stefanoskarakasis/Product-Marketing-Skills

Made for: Claude Code.

Or install pmm-execution, the plugin that ships this one along with the rest of its 8 skills, 8 commands.

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 pmm-okrs

README.md
[![agentmods](https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/pmm-okrs/github.svg)](https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/pmm-okrs)
Your own site
<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/pmm-okrs"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/pmm-okrs/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 pmm-okrs

Your own site · 80×15
<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/pmm-okrs"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/pmm-okrs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,951 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 $0.00130 $0.02951
Opus 5 $0.00065 $0.01476
Sonnet 5 $0.00026 $0.00590
Haiku 4.5 $0.00013 $0.00295

Measured today against content hash 1bfe7128bc8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pmm-okrs 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 today.

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.

pmm-execution/skills/pmm-okrs/SKILL.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pmm-okrs

A guided OKR builder for Product Marketing teams. Run it at the start of every quarter. Outputs a complete, review-ready OKR set you can paste directly into the PMM OKR Builder sheet.


Trigger

  • When: Start of any quarter when setting PMM OKRs. When reviewing or stress-testing existing KRs before committing. When building a measurement plan or leadership-ready exec narrative from a finalised OKR set.
  • Not for: Company-level OKR design (not PMM-specific) → general planning tool. Revenue forecasting or headcount planning. OKR tooling setup (Lattice, Workday) — this skill produces content, not configuration. If no quarterly strategy exists yet → build quarterly strategy context in your brain first, then return here.
  • Example prompts:
    • "Help me set our Q3 OKRs"
    • "Are these KRs measurable enough?"
    • "Build a scorecard for my chosen option"
    • "Write OKRs for my team lead who owns competitive intelligence"
    • "Stress-test this KR: improve win rate in enterprise"
    • "I need to present our goals to the exec team next week"

Inputs

  • Args: Company objective, PMM mandate, team size, primary metric, biggest challenge, ICP, and named competitors. All optional at start — skill gathers via intake flow.
  • Defaults: If no args provided, run intake flow via /build. If partial context is provided, infer where possible and surface gaps explicitly before proceeding.
  • Context keys:
    • /foundation/brain.md — recommended. Load Section 2 (ICP), Section 3 (Alternatives & Positioning), Section 5 (Market Context) silently if present.
    • /context/meta-patterns.md — optional; recurring patterns the user has logged from all skills.

Pre-flight

If /context/meta-patterns.md exists in the user's workspace, check it for recurring OKR patterns they've logged. If one applies, surface a guardrail prompt before Step 1. If it doesn't exist, skip silently.

Before starting, check /foundation/brain.md. If it exists — load silently:

  • Section 1 (Product Context) → stage and business model context
  • Section 2 (ICP Definition) → align OKRs to the named buyer
  • Section 5 (Market Context) → align OKRs to macro forces and timing Confidence awareness: If loaded sections are 🔴, flag before building OKRs:

"Revenue Levers is marked as Placeholder — OKRs built on this may need revisiting. Want to update it first?" If missing: Proceed. Surface once: "Run product-marketing-context first for sharper OKRs. Continuing."

Read the full file on GitHub · 252 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. today Changed · +2 lines 1bfe7128bc8a
  2. 12d ago First seen · 250 lines · 130 tokens per session scan A b7cf23f47c1e

Subscribe to this mod's changes

pmm-okrs is a skill published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (5 stars, last pushed today), licensed MIT. It adds 130 tokens to every session and 2,951 once invoked, about $0.0006 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.

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