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Agent skill

Helm Plan

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

A skill your agent uses when asked to build a product roadmap, prioritize a backlog, decide what to build next, or sequence a list of feature ideas.

MITAuto-check: notesProduct & Project Management

Install Helm Plan

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill helm-plan -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace helm-plan --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/helm-plan .claude/skills/helm-plan && 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
helm-plan
GitHub stars
2.8k
Token cost
~701 tokens
SKILL.md length
290 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when asked to build a product roadmap, prioritize a backlog, decide what to build next, or sequence a list of feature ideas.

  • Works in 5 steps: Gather the Input → Score with RICE → Apply Judgment Filters → …
  • Asked to build a product roadmap
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Helm Plan is an agent skill from jeremylongshore/tons-of-skills-marketplace. Use when asked to build a product roadmap, prioritize a backlog, decide what to build next, or sequence a list of feature ideas. Examples: "what should we build next", "prioritize this backlog", "make a roadmap", "RICE score these features".

Its SKILL.md is about 700 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 Product & Project Management, covering Container orchestration, Prioritization frameworks and Product roadmapping. 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 build a product roadmap
  • Prioritize a backlog
  • Decide what to build next
  • Sequence a list of feature ideas

Example prompts

  • “what should we build next”
  • “prioritize this backlog”
  • “make a roadmap”
  • “/helm-plan”

Requirements

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

Workflow steps

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

  1. Gather the Input
  2. Score with RICE
  3. Apply Judgment Filters
  4. Build the Roadmap View
  5. Deliver

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

Helm Plan loads about 701 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 290 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~701

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). 290 words, ~701 tokens.

Download SKILL.mdSave it as .claude/skills/helm-plan/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
helm-plan
description
Use when asked to build a product roadmap, prioritize a backlog, decide what to build next, or sequence a list of feature ideas. Examples: "what should we build next", "prioritize this backlog", "make a roadmap", "RICE score these features".
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

Helm Plan

You are Helm — the Head of Product on the Product Team.

Steps

Step 1: Gather the Input

Collect the list of features, ideas, or initiatives to prioritize. For each item, you need (or will estimate):

  • Reach — how many users affected per period
  • Impact — effect on the key metric (1=minimal, 2=low, 3=medium, 5=high, 8=massive)
  • Confidence — how sure are you? (100%=high, 80%=medium, 50%=low)
  • Effort — person-weeks of engineering work

If values are missing, ask. If the user wants fast estimates, use these defaults and flag them: Reach=unknown, Impact=3, Confidence=50%, Effort=2.

Step 2: Score with RICE

For each item, compute:

RICE = (Reach × Impact × Confidence) / Effort

Higher score = higher priority. Present results in a table sorted by RICE score descending.

Step 3: Apply Judgment Filters

Raw RICE scores miss context. After scoring, apply these filters:

  • Dependencies — if item B requires item A, A moves up regardless of score
  • Strategic bets — one low-RICE item may be worth doing if it opens a new market or validates a key assumption
  • Quick wins — items with high RICE and Effort ≤ 1 week float to the top of the immediate queue
  • Debt vs. features — if engineering has flagged technical debt blocking a high-RICE item, include the debt item as a prerequisite
Step 4: Build the Roadmap View

Present three horizons:

NOW (this sprint/week):
  [Items: high RICE + low effort + no blockers]

NEXT (next 2-4 weeks):
  [Items: high RICE, may have dependencies to clear first]

LATER (4+ weeks or post-validation):
  [Items: strategic bets, lower confidence, or high effort requiring more signal]

NOT NOW:
  [Items explicitly deprioritized and why — this list is as important as the rest]
Step 5: Deliver

Present the RICE table followed by the roadmap view. Note any items where the RICE score and your judgment diverge, and explain why.

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

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/helm-plan of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Helm Plan 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.

Helm Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Helm Plan this skilljeremylongshore/tons-of-skills-marketplace2.8k—~701Automated safety check: NotesMIT
Strategic Roadmap Planningdeanpeters/Product-Manager-Skills7.2k2 repos~4.7kAutomated safety check: PassCustom licence
Roadmapandreaskelm/pm-brain234—~2.5kAutomated safety check: PassCustom licence
Roadmap Planningrampstackco/claude-skills945—~2.7kAutomated safety check: PassMIT
Roadmap PrioritizationRefoundAI/lenny-skills1.4k—~1.1kAutomated safety check: PassMIT
Roadmap Planningmanager-dot-dev/manager-skills114—~4.9kAutomated safety check: PassMIT

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  • Strategic Roadmap Planning

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    7.2k GitHub starsUsed in 2 repos~4.7k tokens
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  • Roadmap

    andreaskelm/pm-brain

    Build, restructure, or review a product roadmap, including Now/Next/Later, outcome-based, theme-based, scenario and rolling roadmaps, with confidence levels and time ranges instead of hard dates.

    234 GitHub stars~2.5k tokensUpdated yesterday
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  • Roadmap Planning

    rampstackco/claude-skills

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    945 GitHub stars~2.7k tokensUpdated 4 days ago
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    1.4k GitHub stars~1.1k tokensUpdated 2 mo ago
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Categories

Questions about Helm Plan

What does Helm Plan do?

A skill your agent uses when asked to build a product roadmap, prioritize a backlog, decide what to build next, or sequence a list of feature ideas. Helm Plan is an agent skill from jeremylongshore/tons-of-skills-marketplace. Use when asked to build a product roadmap, prioritize a backlog, decide what to build next, or sequence a list of feature ideas.

When should I use Helm Plan?

Helm Plan fits situations like: asked to build a product roadmap; prioritize a backlog; decide what to build next; sequence a list of feature ideas.

How do I install Helm Plan in Claude Code?

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

How do I install Helm Plan in Codex?

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

Can I use Helm Plan 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 helm-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/helm-plan, .gemini/skills/helm-plan, .github/skills/helm-plan and .opencode/skills/helm-plan in your project.

What does Helm Plan need to run?

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

Does Helm Plan 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 Helm Plan 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 Helm Plan use?

Helm Plan 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 Helm Plan use?

About 701 tokens (SKILL.md is roughly 2.8k 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 Helm Plan?

Skills that share tags, products or a category with Helm Plan: Strategic Roadmap Planning (deanpeters/Product-Manager-Skills, 7.2k stars), Roadmap (andreaskelm/pm-brain, 234 stars), Roadmap Planning (rampstackco/claude-skills, 945 stars) and Roadmap Prioritization (RefoundAI/lenny-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Helm Plan?

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.