Game Changing Features
openstatusHQ/data-table-filters
Find 10x product opportunities and high-leverage improvements.
Builds a defensible, ten-part case for an AI product idea, covering outcomes, hypotheses, PESTEL risks, and success metrics.
Install AI Recommendation Canvas
$ npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install deanpeters/Product-Manager-Skills recommendation-canvas --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/recommendation-canvas .claude/skills/recommendation-canvas && rm -rf skills-srcUse ~/.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/
Install the "recommendation-canvas" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/recommendation-canvas into .claude/skills/recommendation-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendation-canvas", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/recommendation-canvasType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install deanpeters/Product-Manager-Skills recommendation-canvas --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/recommendation-canvas .agents/skills/recommendation-canvas && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "recommendation-canvas" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/recommendation-canvas into .agents/skills/recommendation-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendation-canvas", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install deanpeters/Product-Manager-Skills recommendation-canvas --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/recommendation-canvas .cursor/skills/recommendation-canvas && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "recommendation-canvas" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/recommendation-canvas into .cursor/skills/recommendation-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendation-canvas", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/deanpeters/Product-Manager-Skills.git --path skills/recommendation-canvas--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install deanpeters/Product-Manager-Skills recommendation-canvas --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/recommendation-canvas .gemini/skills/recommendation-canvas && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "recommendation-canvas" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/recommendation-canvas into .gemini/skills/recommendation-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendation-canvas", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install deanpeters/Product-Manager-Skills recommendation-canvasInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/recommendation-canvas .github/skills/recommendation-canvas && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "recommendation-canvas" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/recommendation-canvas into .github/skills/recommendation-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendation-canvas", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install deanpeters/Product-Manager-Skills recommendation-canvas --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/recommendation-canvas .opencode/skills/recommendation-canvas && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "recommendation-canvas" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/recommendation-canvas into .opencode/skills/recommendation-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendation-canvas", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
recommendation-canvas- GitHub stars
- 7.2k
- Used in
- 1 other repo
- Token cost
- ~3.7k tokens
- SKILL.md length
- 1,063 words
- Files
- 4
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Builds a defensible, ten-part case for an AI product idea, covering outcomes, hypotheses, PESTEL risks, and success metrics.
- Works in 10 steps: Gather Context → Define Outcomes → Frame the Problem → …
- Building a case for or against investing in an AI feature idea
- SKILL.md covers Purpose, Input, Key Concepts and Application, plus 3 more sections
- Reaches github.com
What it does
Ten linked boxes make up the canvas: business outcome, product outcome, a persona-centric problem statement, a solution hypothesis with its experiments, a positioning statement, assumptions and unknowns, PESTEL risks, a value justification, SMART success metrics, and a next-steps section, synthesizing several other frameworks into one view built for a go or no-go decision. It treats the AI solution as a bet to validate rather than a commitment already made, which matters for features that carry more uncertainty than a typical spec.
When your agent uses it
- Building a case for or against investing in an AI feature idea
- Needing a structured, executive-ready AI proposal under deadline
- Surfacing assumptions and PESTEL risks before committing to an AI bet
Example prompts
- “Recommendation canvas: AI-suggested reorder quantities, VP Ops wants a go/no-go next month.”
- “Build the business case for this AI-drafted job description feature.”
- “What are the biggest risks in our proposed AI chatbot before we pitch it?”
Workflow steps
10 steps, taken from the step headings in SKILL.md.
- Gather Context
- Define Outcomes
- Frame the Problem
- Define the Solution Hypothesis
- Define Positioning
- Document Assumptions & Unknowns
- Identify PESTEL Risks
- Justify the Value
- Define Success Metrics
- Define Next Steps
What it can do on your machine
Read from SKILL.md and the folder at commit 1b5a524. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
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
AI Recommendation Canvas loads about 3.7k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 1,063 words of instructions outside code blocks.
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 passed
The automated check found no risky patterns in SKILL.md.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,063 words (~3,742 tokens).
“Evaluate and propose AI product solutions using a structured canvas that assesses business outcomes, customer outcomes, problem framing, solution hypotheses, positioning, risks, and value justification. Use this to build a comprehensive, defensible recommendation for stakeholders and decision-makers—especially when proposing AI-powered…”
- name
- recommendation-canvas
- argument-hint
- [AI product idea]
- intent
- Evaluate and propose AI product solutions using a structured canvas that assesses business outcomes, customer outcomes, problem framing, solution hypotheses…
- type
- component
- theme
- validation-experiments
- best_for
- Deciding whether an AI product idea deserves real investment, Surfacing the risks and hypotheses behind an AI feature request, Comparing AI solution options…
- scenarios
- Leadership wants an AI feature and I need to evaluate whether it's worth building, I have three AI solution options and need to compare them on outcomes and…
- estimated_time
- 30-45 min
Files
SKILL.md and 3 other files in skills/recommendation-canvas of deanpeters/Product-Manager-Skills.
- SKILL.md
- examples/sample-lifesciences.md
- examples/sample.md
- template.md
Open the folder on GitHubat commit 1b5a524
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in deanpeters/Product-Manager-Skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
AI Recommendation Canvas 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Recommendation Canvas this skilldeanpeters/Product-Manager-Skills | 7.2k | 1 repos | ~3.7k | Automated safety check: Pass | Custom licence | |
| Game Changing FeaturesopenstatusHQ/data-table-filters | 2.3k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Product Strategistalirezarezvani/claude-skills | 28k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | |
| PlaidBuildGreatProducts/plaid | 218 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Product Competitive AnalysisFokkyp/claude-skills | 226 | — | ~1.2k | Automated safety check: Pass | None | |
| Blue Ocean Strategygetagentseal/founder-playbook | 729 | — | ~3.1k | Automated safety check: Pass | MIT |
Similar skills
Product Strategist
alirezarezvani/claude-skills
OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.
Plaid
BuildGreatProducts/plaid
Product Led AI Development — guides founders from idea to launched product.
Product Competitive Analysis
Fokkyp/claude-skills
Produces product-manager competitive analysis reports in Chinese, with a confirm-first scoping gate, three-phase evidence collection and single or multi-product modes.
Blue Ocean Strategy
getagentseal/founder-playbook
Frameworks from Kim & Mauborgne for creating uncontested market space and making competition irrelevant.
Team OKR Brainstorm
phuryn/pm-skills
Drafts three alternative sets of team OKRs, each with an inspiring objective and measurable key results, tied to the company strategy you provide.
More from deanpeters/Product-Manager-Skills
All 75 skills in this repoUser Story Writer
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
TAM SAM SOM Calculator
deanpeters/Product-Manager-Skills
Calculates total, serviceable available and serviceable obtainable market size for a product idea with explicit assumptions, methods and caveats.
Organic Growth Path Advisor
deanpeters/Product-Manager-Skills
Diagnoses where a growth constraint lives and recommends one organic growth path from the McKinsey Growth Pyramid to test first.
Prioritization Framework Advisor
deanpeters/Product-Manager-Skills
Picks the right prioritization framework for your stage and context instead of defaulting to RICE or ICE out of habit.
Strategic Roadmap Planning
deanpeters/Product-Manager-Skills
Sequences prioritization, epic definition, and stakeholder alignment into a release plan that ladders up to business outcomes.
User Story Mapping
deanpeters/Product-Manager-Skills
Lays out a user journey as activities, steps, and tasks on a two-dimensional map that then informs backlog slicing.
Related
Categories
Questions about AI Recommendation Canvas
What does AI Recommendation Canvas do?
Builds a defensible, ten-part case for an AI product idea, covering outcomes, hypotheses, PESTEL risks, and success metrics. Ten linked boxes make up the canvas: business outcome, product outcome, a persona-centric problem statement, a solution hypothesis with its experiments, a positioning statement, assumptions and unknowns, PESTEL risks, a value justification, SMART success metrics, and a next-steps section, synthesizing several other frameworks into one view built for a go or no-go decision. It treats the AI solution as a bet to validate rather than a commitment already made, which matters for features that carry more uncertainty than a typical spec.
When should I use AI Recommendation Canvas?
AI Recommendation Canvas fits situations like: building a case for or against investing in an AI feature idea; needing a structured, executive-ready AI proposal under deadline; surfacing assumptions and PESTEL risks before committing to an AI bet.
How do I install AI Recommendation Canvas in Claude Code?
Run `npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -a claude-code`. Or copy the skill folder (skills/recommendation-canvas in deanpeters/Product-Manager-Skills) into .claude/skills/recommendation-canvas in your project. Claude Code loads it when a task matches its description.
How do I install AI Recommendation Canvas in Codex?
Run `npx skills add deanpeters/Product-Manager-Skills --skill recommendation-canvas -a codex`. Or copy the skill folder (skills/recommendation-canvas in deanpeters/Product-Manager-Skills) into .agents/skills/recommendation-canvas in your project. Codex loads it when a task matches its description.
Can I use AI Recommendation Canvas 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 deanpeters/Product-Manager-Skills --skill recommendation-canvas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recommendation-canvas, .gemini/skills/recommendation-canvas, .github/skills/recommendation-canvas and .opencode/skills/recommendation-canvas in your project.
What does AI Recommendation Canvas need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Recommendation Canvas is instructions for the agent only.
Does AI Recommendation Canvas access the network?
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is AI Recommendation Canvas safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does AI Recommendation Canvas use?
AI Recommendation Canvas has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does AI Recommendation Canvas use?
About 3.7k tokens (SKILL.md is roughly 15k 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 AI Recommendation Canvas?
Skills that share tags, products or a category with AI Recommendation Canvas: Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), Product Strategist (alirezarezvani/claude-skills, 28k stars), Plaid (BuildGreatProducts/plaid, 218 stars) and Product Competitive Analysis (Fokkyp/claude-skills, 226 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Recommendation Canvas?
deanpeters (a GitHub user) maintains it in deanpeters/Product-Manager-Skills, which has 7,224 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 1, 2026.
Source: deanpeters/Product-Manager-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.