Opportunity Solution Tree
phuryn/pm-skills
Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments.
Tests whether a solution is more complex than it needs to be — distinguishing necessary complexity from accidental complexity that accreted over time.
MITAuto-check passed
Install S4h Aesthetic Elegance Testing
$ npx skills add human-avatar/skills-for-humanity --skill s4h-aesthetic-elegance-testing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-aesthetic-elegance-testing --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/human-avatar/skills-for-humanity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/s4h-aesthetic-elegance-testing .claude/skills/s4h-aesthetic-elegance-testing && 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 "s4h-aesthetic-elegance-testing" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-aesthetic-elegance-testing into .claude/skills/s4h-aesthetic-elegance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-aesthetic-elegance-testing", 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/human-avatar/skills-for-humanity/tree/main/skills/s4h-aesthetic-elegance-testingType 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 human-avatar/skills-for-humanity --skill s4h-aesthetic-elegance-testing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-aesthetic-elegance-testing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/s4h-aesthetic-elegance-testing .agents/skills/s4h-aesthetic-elegance-testing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "s4h-aesthetic-elegance-testing" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-aesthetic-elegance-testing into .agents/skills/s4h-aesthetic-elegance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-aesthetic-elegance-testing", 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 human-avatar/skills-for-humanity --skill s4h-aesthetic-elegance-testing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-aesthetic-elegance-testing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/s4h-aesthetic-elegance-testing .cursor/skills/s4h-aesthetic-elegance-testing && 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 "s4h-aesthetic-elegance-testing" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-aesthetic-elegance-testing into .cursor/skills/s4h-aesthetic-elegance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-aesthetic-elegance-testing", 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/human-avatar/skills-for-humanity.git --path skills/s4h-aesthetic-elegance-testing--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 human-avatar/skills-for-humanity --skill s4h-aesthetic-elegance-testing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-aesthetic-elegance-testing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/s4h-aesthetic-elegance-testing .gemini/skills/s4h-aesthetic-elegance-testing && 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 "s4h-aesthetic-elegance-testing" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-aesthetic-elegance-testing into .gemini/skills/s4h-aesthetic-elegance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-aesthetic-elegance-testing", 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 human-avatar/skills-for-humanity s4h-aesthetic-elegance-testingInstalls 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 human-avatar/skills-for-humanity --skill s4h-aesthetic-elegance-testing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/s4h-aesthetic-elegance-testing .github/skills/s4h-aesthetic-elegance-testing && 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 "s4h-aesthetic-elegance-testing" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-aesthetic-elegance-testing into .github/skills/s4h-aesthetic-elegance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-aesthetic-elegance-testing", 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 human-avatar/skills-for-humanity --skill s4h-aesthetic-elegance-testing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h-aesthetic-elegance-testing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/s4h-aesthetic-elegance-testing .opencode/skills/s4h-aesthetic-elegance-testing && 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 "s4h-aesthetic-elegance-testing" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-aesthetic-elegance-testing into .opencode/skills/s4h-aesthetic-elegance-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h-aesthetic-elegance-testing", 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
s4h-aesthetic-elegance-testing- GitHub stars
- 231
- Token cost
- ~1.4k tokens
- SKILL.md length
- 735 words
- Files
- 1
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
Tests whether a solution is more complex than it needs to be — distinguishing necessary complexity from accidental complexity that accreted over time.
- SKILL.md covers Your Process, Human Check-in, Output Format and Notes, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
S4h Aesthetic Elegance Testing is an agent skill from human-avatar/skills-for-humanity. Tests whether a solution is more complex than it needs to be — distinguishing necessary complexity from accidental complexity that accreted over time. TRIGGERS: 'elegance test', 'is this too complex', 'over-engineered', 'is there a simpler way', 'does this feel right'.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Structured reasoning methodologies from history's most rigorous thinkers, packaged as Claude Code skills. The licence is MIT.
Example prompts
- “elegance test”
- “is this too complex”
- “over-engineered”
- “/s4h-aesthetic-elegance-testing”
What it can do on your machine
Read from SKILL.md and the folder at commit a30df8b. 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.
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
S4h Aesthetic Elegance Testing loads about 1.4k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 735 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
The full file from human-avatar/skills-for-humanity at commit a30df8b, republished under its MIT licence (© human-avatar). 735 words, ~1,373 tokens.
Download SKILL.mdSave it as
.claude/skills/s4h-aesthetic-elegance-testing/SKILL.md (or your agent's skills folder).- name
- s4h-aesthetic-elegance-testing
- description
- Tests whether a solution is more complex than it needs to be — distinguishing necessary complexity from accidental complexity that accreted over time. TRIGGERS: 'elegance test', 'is this too complex', 'over-engineered', 'is there a simpler way', 'does this feel right'.
Aesthetic Elegance Testing
Complexity is the default outcome of design by committee, incremental revision, and deference to edge cases. Each addition is locally defensible. The cumulative result is a system no one would have designed on purpose. Elegance is not simplicity for its own sake — it is the property of a solution where every element earns its place and nothing obscures the core. This skill tests for that property.
Your Process
Step 1: State the Solution Describe the design, plan, system, or solution in enough detail to evaluate its parts. If it's a process, name the steps. If it's a system, name the components. If it's a strategy, name the moves.
Framing check: Confirm the specific solution before continuing. State what you've identified — the actual artifact being tested and its apparent purpose — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the solution and what it is meant to accomplish]. Is that right?"
- Header: "Framing"
- Options:
- Yes — proceed — framing is correct
- Adjust — one element is off; user will correct it before you continue
- Reframe — different situation than read; incorporate the correction before proceeding
Step 2: Define the Irreducible Core What is the minimum that does the job? State in one sentence what the solution must accomplish to succeed. Every element that doesn't directly serve this core is a candidate for removal. If you can't state the core in one sentence, the solution may not have one — which is itself a finding.
Step 3: Element Audit For each component, mechanism, layer, or step: is it necessary for the core job, or did it accrete over time to handle edge cases, satisfy stakeholder requests, hedge against unlikely scenarios, or address problems that may not exist? Label each clearly: necessary or accreted.
Step 4: Concept Count How many distinct concepts must a new person learn to understand and use this solution fully? Elegant solutions have fewer. Count them explicitly. Compare against the irreducible minimum — the number of concepts required if every accreted element were removed. The gap is the complexity overhead.
Step 5: Thirty-Second Explanation Test Can you explain the solution in 30 seconds to someone intelligent but unfamiliar with it? Attempt the explanation. If it requires more than 30 seconds, complexity may be genuine — or it may be a sign the design hasn't been thought through clearly enough to be simple. Both are worth knowing.
Step 6: Sources of Unnecessary Complexity For each accreted element: what introduced it, and what would removing it cost? Some removals are free — the element was pure noise. Some involve real trade-offs — the element serves a secondary purpose worth naming. Distinguish them explicitly.
Show full SKILL.md (293 more words)Show less
Human Check-in
Before proceeding, use the AskUserQuestion tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:
- Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
- Header: "Scope"
- Options:
- Full analysis — Complete all steps, reasoning shown throughout
- Key findings only — Bottom-line output, skip step-by-step detail
- Accidental complexity only — What could be removed without losing anything that matters
- Reframe — The read is off; correct it and the analysis will follow the corrected framing
Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.
Output Format
Core Job: [one sentence — what the solution must accomplish to succeed]
Element Audit
| Element | Necessary or Accreted | Rationale |
|---|---|---|
| [component/mechanism/step] | [necessary / accreted] | [why it does or doesn't serve the core] |
Concept Count: [n currently required] vs [n at irreducible minimum] — overhead: [gap]
30-Second Explanation Test: [pass / fail — include the actual attempt]
Sources of Unnecessary Complexity
| Accreted Element | How It Was Introduced | Cost of Removal |
|---|---|---|
| [element] | [origin] | [what is lost if removed] |
Recommended Simplifications: [specific removals or reductions, with trade-offs named]
Notes
The question is not "can we defend every element" but "does every element earn its place." Elements that can be defended are not the same as elements that are necessary — hold the higher bar. Elegance is achieved not when there is nothing left to add, but when there is nothing left to remove.
What's Next
After delivering this output, use AskUserQuestion to offer the next move:
- Question: "Elegance tested. What's next?"
- Header: "Next"
- Options:
/s4h-aesthetic-simplicity-analysis— Simplify what elegance testing flagged as complex/s4h-writing-prose-elevation— Elevate prose flagged as inelegant/s4h-aesthetic-coherence-check— Verify that elegance is coherent with the whole- Done — Wrap up and synthesise what we have so far
© human-avatar, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/s4h-aesthetic-elegance-testing of human-avatar/skills-for-humanity.
Open the folder on GitHubat commit a30df8b
Compare with similar skills
S4h Aesthetic Elegance Testing 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 |
|---|---|---|---|---|---|---|
| S4h Aesthetic Elegance Testing this skillhuman-avatar/skills-for-humanity | 231 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Opportunity Solution Treephuryn/pm-skills | 27k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Google Cloud Solution Architecturegoogle/skills | 21k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| D365 Solution Blueprintgithub/awesome-copilot | 40k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Complexity Cutssickn33/agentic-awesome-skills | 47k | 1 repos | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Refactor Method Complexity Reducegithub/awesome-copilot | 40k | 1 repos | ~1.1k | Automated safety check: Pass | MIT |
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Complexity Cuts
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Questions about S4h Aesthetic Elegance Testing
What does S4h Aesthetic Elegance Testing do?
Tests whether a solution is more complex than it needs to be — distinguishing necessary complexity from accidental complexity that accreted over time. S4h Aesthetic Elegance Testing is an agent skill from human-avatar/skills-for-humanity. Tests whether a solution is more complex than it needs to be — distinguishing necessary complexity from accidental complexity that accreted over time.
How do I install S4h Aesthetic Elegance Testing in Claude Code?
Run `npx skills add human-avatar/skills-for-humanity --skill s4h-aesthetic-elegance-testing -a claude-code`. Or copy the skill folder (skills/s4h-aesthetic-elegance-testing in human-avatar/skills-for-humanity) into .claude/skills/s4h-aesthetic-elegance-testing in your project. Claude Code loads it when a task matches its description.
How do I install S4h Aesthetic Elegance Testing in Codex?
Run `npx skills add human-avatar/skills-for-humanity --skill s4h-aesthetic-elegance-testing -a codex`. Or copy the skill folder (skills/s4h-aesthetic-elegance-testing in human-avatar/skills-for-humanity) into .agents/skills/s4h-aesthetic-elegance-testing in your project. Codex loads it when a task matches its description.
Can I use S4h Aesthetic Elegance Testing 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 human-avatar/skills-for-humanity --skill s4h-aesthetic-elegance-testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/s4h-aesthetic-elegance-testing, .gemini/skills/s4h-aesthetic-elegance-testing, .github/skills/s4h-aesthetic-elegance-testing and .opencode/skills/s4h-aesthetic-elegance-testing in your project.
What does S4h Aesthetic Elegance Testing need to run?
SKILL.md names no scripts, command-line tools or credentials: S4h Aesthetic Elegance Testing is instructions for the agent only.
Does S4h Aesthetic Elegance Testing 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 S4h Aesthetic Elegance Testing 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 S4h Aesthetic Elegance Testing use?
S4h Aesthetic Elegance Testing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does S4h Aesthetic Elegance Testing use?
About 1.4k tokens (SKILL.md is roughly 5.5k 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 S4h Aesthetic Elegance Testing?
Skills that share tags, products or a category with S4h Aesthetic Elegance Testing: Opportunity Solution Tree (phuryn/pm-skills, 27k stars), Google Cloud Solution Architecture (google/skills, 21k stars), D365 Solution Blueprint (github/awesome-copilot, 40k stars) and Complexity Cuts (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains S4h Aesthetic Elegance Testing?
human-avatar (a GitHub organization) maintains it in human-avatar/skills-for-humanity, which has 231 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on July 15, 2026.
Source: human-avatar/skills-for-humanity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.