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Agent skill

Crest Okr

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence.

MITAuto-check: notesBusiness, Finance & HR

Install Crest Okr

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill crest-okr -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace crest-okr --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/crest-okr .claude/skills/crest-okr && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
crest-okr
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
403 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence.

  • Works in 7 steps: Establish the Strategic Context → Define the North Star Metric → Build the Input Metrics Tree → …
  • Asked to set OKRs
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Crest Okr is an agent skill from jeremylongshore/tons-of-skills-marketplace. OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence. Use when asked to "set OKRs", "define our objectives", "what should we measure this quarter", "design our OKR framework", "build a metrics tree", or "what's our North Star".

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

It sits in Business, Finance & HR, covering OKRs and executive reporting and Product metrics. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to set OKRs
  • Define our objectives
  • What should we measure this quarter
  • Design our OKR framework

Example prompts

  • “set OKRs”
  • “define our objectives”
  • “what should we measure this quarter”
  • “/crest-okr”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Establish the Strategic Context
  2. Define the North Star Metric
  3. Build the Input Metrics Tree
  4. Write the OKRs
  5. Add Guardrail Metrics
  6. Define Review Cadence
  7. Present OKRs

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • Task
    • TodoWrite

    …and 1 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Crest Okr loads about 1.2k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 403 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 403 words, ~1,210 tokens.

Download SKILL.mdSave it as .claude/skills/crest-okr/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
crest-okr
description
OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence. Use when asked to "set OKRs", "define our objectives", "what should we measure this quarter", "design our OKR framework", "build a metrics tree", or "what's our North Star".
allowed-tools
Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

OKR Design

You are Crest — the product strategist on the Product Team. Design OKRs that drive decisions, not just reporting.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 1: Establish the Strategic Context

Before writing OKRs, confirm:

  • Planning horizon — quarterly OKRs? Half-year? Annual?
  • Company stage — 0→1 (find PMF), growth (scale what works), or efficiency (optimize unit economics)?
  • Top constraint — revenue? Users? Retention? Time to next funding?
  • Existing North Star — is there already a defined North Star metric? If so, read it.

If context is missing, flag it and proceed with explicit assumptions.

Step 2: Define the North Star Metric

The North Star is the single metric that best represents value delivered to users AND correlates with long-term business success.

Select from this decision tree:

Is the product consumption-based?  → North Star = [value unit] consumed per [period]
  (e.g., Spotify: streams per month, Slack: messages sent per day)

Is the product transactional?      → North Star = [transactions] per [period]
  (e.g., Airbnb: nights booked, Stripe: payment volume)

Is the product a tool/SaaS?        → North Star = [active users] doing [core action]
  (e.g., Figma: collaborators per file, Notion: blocks created)

Is the product a network?          → North Star = [connections] or [interactions]
  (e.g., LinkedIn: connections made, WhatsApp: messages sent)

State the North Star as: "[Metric] — [definition] — [why it captures value]"

Step 3: Build the Input Metrics Tree

Break the North Star into 3-5 leading indicators (input metrics):

North Star: [metric]
│
├── Input 1: [metric] — drives [% of North Star movement]
│     └── Lever: [what the team can do to move this]
├── Input 2: [metric] — drives [% of North Star movement]
│     └── Lever: [what the team can do to move this]
├── Input 3: [metric] — drives [% of North Star movement]
│     └── Lever: [what the team can do to move this]
└── Counter-metric: [metric] — prevents gaming the North Star
Step 4: Write the OKRs

Write 1-3 objectives, each with 2-4 key results.

Objective format: "Verb + outcome + why it matters" (not a task, not a metric)

  • Good: "Make activation fast and obvious for new users"
  • Bad: "Improve onboarding" (vague) or "Ship onboarding v2" (task, not outcome)

Key result format: "Metric from X to Y by [date]"

  • Good: "Increase D7 retention from 28% to 40% by end of Q2"
  • Bad: "Improve retention" (no number) or "Run 3 experiments" (output, not outcome)
Objective 1: [verb + outcome + why]
  KR 1.1: [metric] from [baseline] to [target] by [date]
  KR 1.2: [metric] from [baseline] to [target] by [date]
  KR 1.3: [metric] from [baseline] to [target] by [date]

Objective 2: [verb + outcome + why]
  KR 2.1: [metric] from [baseline] to [target] by [date]
  KR 2.2: [metric] from [baseline] to [target] by [date]
Show full SKILL.md (160 more words)Show less
Step 5: Add Guardrail Metrics

Identify 1-2 metrics that must NOT decrease while pursuing the OKRs:

  • Guardrails prevent gaming (e.g., if retention is the OKR, churning low-value users inflates the number)
  • Guardrails surface unintended consequences
Step 6: Define Review Cadence
CadenceWhoWhat
WeeklyTeamInput metrics check-in — are leading indicators moving?
MonthlyLeadershipKR progress — on track / at risk / off track?
End of periodAllOKR retrospective — did we achieve the objective? What did we learn?
Step 7: Present OKRs

Flag any KR where:

  • The baseline is unknown (need Lumen to measure it first)
  • The target was set without data (assumption — validate within first month)
  • There is no lever to move the metric (KR is outside the team's control)

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/crest-okr of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit cfae287

Compare with similar skills

Crest Okr next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Crest Okr compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Crest Okr this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: NotesMIT
Analytics Strategyrampstackco/claude-skills945—~2.4kAutomated safety check: PassMIT
Startup Metrics Frameworkaiskillstore/marketplace43310 repos~293Automated safety check: PassNone
Startup Metrics Frameworkwshobson/agents40k—~2.5kAutomated safety check: PassMIT
Analytics Metrics Kpinicepkg/ai-workflow285—~2.1kAutomated safety check: PassMIT
Executive Dashboardindranilbanerjee/digital-marketing-pro8621 repos~1.8kAutomated safety check: PassMIT

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Categories

Questions about Crest Okr

What does Crest Okr do?

OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence. Crest Okr is an agent skill from jeremylongshore/tons-of-skills-marketplace. OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence.

When should I use Crest Okr?

Crest Okr fits situations like: asked to set OKRs; define our objectives; what should we measure this quarter; design our OKR framework.

How do I install Crest Okr in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill crest-okr -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/crest-okr in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/crest-okr in your project. Claude Code loads it when a task matches its description.

How do I install Crest Okr in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill crest-okr -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/crest-okr in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/crest-okr in your project. Codex loads it when a task matches its description.

Can I use Crest Okr in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill crest-okr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/crest-okr, .gemini/skills/crest-okr, .github/skills/crest-okr and .opencode/skills/crest-okr in your project.

What does Crest Okr need to run?

SKILL.md names no scripts, command-line tools or credentials: Crest Okr is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion.

Does Crest Okr access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Crest Okr safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Crest Okr use?

Crest Okr is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Crest Okr use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Crest Okr?

Skills that share tags, products or a category with Crest Okr: Analytics Strategy (rampstackco/claude-skills, 945 stars), Startup Metrics Framework (aiskillstore/marketplace, 433 stars), Startup Metrics Framework (wshobson/agents, 40k stars) and Analytics Metrics Kpi (nicepkg/ai-workflow, 285 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Crest Okr?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.