Web Testing with Playwright and Vitest
withkynam/vibecode-pro-max-kit
Covers web testing from unit to E2E, load, visual, accessibility and security checks, with Playwright, Vitest and k6 guides plus a Playwright setup script.
Conduct scenario planning to prepare for multiple plausible futures using driving forces, uncertainty axes, and the 2x2 scenario matrix.
$ npx skills add asgard-ai-platform/skills --skill meta-scenario-planning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills meta-scenario-planning --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/meta-scenario-planning .claude/skills/meta-scenario-planning && 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 "meta-scenario-planning" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-scenario-planning into .claude/skills/meta-scenario-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-scenario-planning", 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/asgard-ai-platform/skills/tree/main/meta-scenario-planningType 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 asgard-ai-platform/skills --skill meta-scenario-planning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills meta-scenario-planning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/meta-scenario-planning .agents/skills/meta-scenario-planning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meta-scenario-planning" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-scenario-planning into .agents/skills/meta-scenario-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-scenario-planning", 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 asgard-ai-platform/skills --skill meta-scenario-planning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills meta-scenario-planning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/meta-scenario-planning .cursor/skills/meta-scenario-planning && 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 "meta-scenario-planning" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-scenario-planning into .cursor/skills/meta-scenario-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-scenario-planning", 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/asgard-ai-platform/skills.git --path meta-scenario-planning--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 asgard-ai-platform/skills --skill meta-scenario-planning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills meta-scenario-planning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/meta-scenario-planning .gemini/skills/meta-scenario-planning && 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 "meta-scenario-planning" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-scenario-planning into .gemini/skills/meta-scenario-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-scenario-planning", 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 asgard-ai-platform/skills meta-scenario-planningInstalls 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 asgard-ai-platform/skills --skill meta-scenario-planning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/meta-scenario-planning .github/skills/meta-scenario-planning && 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 "meta-scenario-planning" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-scenario-planning into .github/skills/meta-scenario-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-scenario-planning", 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 asgard-ai-platform/skills --skill meta-scenario-planning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills meta-scenario-planning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/meta-scenario-planning .opencode/skills/meta-scenario-planning && 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 "meta-scenario-planning" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/meta-scenario-planning into .opencode/skills/meta-scenario-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-scenario-planning", 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.
meta-scenario-planningConduct scenario planning to prepare for multiple plausible futures using driving forces, uncertainty axes, and the 2x2 scenario matrix.
Meta Scenario Planning is an agent skill from asgard-ai-platform/skills. Conduct scenario planning to prepare for multiple plausible futures using driving forces, uncertainty axes, and the 2x2 scenario matrix. Use this skill when the user faces high uncertainty, needs to stress-test a strategy against different futures, or prepare contingency plans — even if they say 'what if things go wrong', 'what could the future look like', 'how do we prepare for uncertainty', or 'stress-test our strategy'.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `examples/sample_scenario.md` and `references/shell-method.md`).
It sits in Testing & QA, covering Accessibility and Load testing. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Meta Scenario Planning loads about 1k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 303 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.
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.
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 303 words, ~1,008 tokens.
.claude/skills/meta-scenario-planning/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.IRON LAW: Scenarios Are Not Predictions
Scenarios are PLAUSIBLE futures, not forecasts. The goal is NOT to predict
which future will happen, but to prepare strategies that work across
MULTIPLE possible futures. A strategy that only works in one scenario
is fragile.Step 1: Driving Forces (brainstorm 10-15)
Step 2: Select Two Axes
Step 3: Build Four Scenarios
Step 4: Strategy Testing
# Scenario Planning: {Context}
## Driving Forces
| Force | Impact | Uncertainty | Selected? |
|-------|--------|------------|-----------|
| {force} | H/M/L | H/M/L | ✓/— |
## Scenario Matrix
- Axis 1: {Uncertainty A} — {endpoint 1} vs {endpoint 2}
- Axis 2: {Uncertainty B} — {endpoint 1} vs {endpoint 2}
| | {A: endpoint 1} | {A: endpoint 2} |
|---|---|---|
| **{B: endpoint 1}** | **"{Scenario Name}"**: {narrative} | **"{Scenario Name}"**: {narrative} |
| **{B: endpoint 2}** | **"{Scenario Name}"**: {narrative} | **"{Scenario Name}"**: {narrative} |
## Strategy Robustness Test
| Strategy | Scenario 1 | Scenario 2 | Scenario 3 | Scenario 4 |
|----------|-----------|-----------|-----------|-----------|
| {strategy A} | ✓/△/✗ | ✓/△/✗ | ✓/△/✗ | ✓/△/✗ |
## Robust Strategies
{Strategies that work in most scenarios}
## Contingency Triggers
- If {early signal}, activate {contingency plan for scenario X}references/shell-method.md© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in meta-scenario-planning of asgard-ai-platform/skills.
Open the folder on GitHubat commit 4e7f4f8
Meta Scenario Planning 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 |
|---|---|---|---|---|---|---|
| Meta Scenario Planning this skillasgard-ai-platform/skills | 242 | — | ~1k | Automated safety check: Pass | MIT | |
| Web Testing with Playwright and Vitestwithkynam/vibecode-pro-max-kit | 1.1k | — | ~892 | Automated safety check: Pass | Apache-2.0 | |
| iOS Accessibility Testingconorluddy/xclaude-plugin | 183 | — | ~5k | Automated safety check: Pass | MIT | |
| Accessibility Testing StrategyOwl-Listener/inclusive-design-skills | 105 | — | ~1k | Automated safety check: Pass | MIT | |
| Scoutqa Testgithub/awesome-copilot | 40k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Performance Engineeringancoleman/ai-design-components | 525 | — | ~2.9k | Automated safety check: Notes | MIT |
withkynam/vibecode-pro-max-kit
Covers web testing from unit to E2E, load, visual, accessibility and security checks, with Playwright, Vitest and k6 guides plus a Playwright setup script.
conorluddy/xclaude-plugin
Guides WCAG 2.1 and VoiceOver accessibility testing for iOS apps, working from the accessibility tree and not from screenshots.
Owl-Listener/inclusive-design-skills
Plan what to test, how to test, and who should test for accessibility.
github/awesome-copilot
This skill should be used when the user asks to "test this website", "run exploratory testing", "check for accessibility issues", "verify the login flow works", "find bugs on this page", or requests…
ancoleman/ai-design-components
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness.
FerroxLabs/wayland
Design and execute comprehensive accessibility testing strategies combining automated scanning, manual evaluation, and assistive technology testing, with audit templates and stakeholder reporting.
asgard-ai-platform/skills
Implement BM25 ranking function for e-commerce product search relevance scoring.
asgard-ai-platform/skills
Calculate Cpk process capability index to assess whether a process meets specification requirements.
asgard-ai-platform/skills
Calculate price elasticity of demand to quantify how price changes affect sales volume.
asgard-ai-platform/skills
Apply Bayesian averaging to rank items by combining observed ratings with prior expectations.
asgard-ai-platform/skills
Implement Elo rating system to rank items or players from pairwise comparison outcomes.
asgard-ai-platform/skills
Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction.
Categories
Conduct scenario planning to prepare for multiple plausible futures using driving forces, uncertainty axes, and the 2x2 scenario matrix. Meta Scenario Planning is an agent skill from asgard-ai-platform/skills. Conduct scenario planning to prepare for multiple plausible futures using driving forces, uncertainty axes, and the 2x2 scenario matrix.
Meta Scenario Planning fits situations like: the user faces high uncertainty; needs to stress-test a strategy against different futures; prepare contingency plans — even if they say what if things go wrong; what could the future look like.
Run `npx skills add asgard-ai-platform/skills --skill meta-scenario-planning -a claude-code`. Or copy the skill folder (meta-scenario-planning in asgard-ai-platform/skills) into .claude/skills/meta-scenario-planning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add asgard-ai-platform/skills --skill meta-scenario-planning -a codex`. Or copy the skill folder (meta-scenario-planning in asgard-ai-platform/skills) into .agents/skills/meta-scenario-planning in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgard-ai-platform/skills --skill meta-scenario-planning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-scenario-planning, .gemini/skills/meta-scenario-planning, .github/skills/meta-scenario-planning and .opencode/skills/meta-scenario-planning in your project.
SKILL.md names no scripts, command-line tools or credentials: Meta Scenario Planning is instructions for the agent only.
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.
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.
Meta Scenario Planning is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Meta Scenario Planning: Web Testing with Playwright and Vitest (withkynam/vibecode-pro-max-kit, 1.1k stars), iOS Accessibility Testing (conorluddy/xclaude-plugin, 183 stars), Accessibility Testing Strategy (Owl-Listener/inclusive-design-skills, 105 stars) and Scoutqa Test (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.