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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/lucasbayma-candango-uat-runner
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/candango-uat-runner
What's inside
- Skill name
candango-uat-runner- Description
- Candango UAT Runner. Runs existing feature UATs interactively against the implemented code, guiding the user through each scenario and marking confirmations. Use when the user wants to run UAT, validate acceptance manually, check off UAT scenarios, or restart development from a failed UAT. Part of Candango Skills by lucasbayma.
- License
- MIT
- Instructions
- 97 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Candango UAT Runner Run UATs from `docs/features/<feature-slug>/uat.md` one scenario at a time. All user-facing communication and written UAT reports must use `$caveman`. ## Inputs Read: - `docs/features/<feature-slug>/uat.md` - `plan.md`, `issues.md`, and dashboard state when present - repo setup docs under `docs/agents/` - stack files such as `package.json`, lockfiles, Docker files, app config, routes, tests, and README - relevant code paths for each UAT scenario If feature folder is ambiguous, ask which `docs/features/<feature-slug>/` to use. ## Workflow ### 1. Prepare Run Infer the technical stack and test surface: - app start command - focused test command - seed/data setup - browser/API/CLI path to exercise - required env vars or credentials - whether scenario is automated, manual, or both Do not ask the user to inspect implementation details. Give user-facing steps only. ### 2. Guide Each Scenario For each unchecked UAT: 1. Show UAT id/title and expected outcome. 2. Run automatable checks yourself when available. 3. Give precise manual steps for the user, based on the repo stack. 4. Ask for confirmation: passed, failed, or blocked. 5. Wait for user answer before moving to next UAT. ### 3. Mark Checked When user confirms pass: - update `uat.md` - prefer existing checkbox/status format if present - otherwise maintain a `## UAT Run Log` section: - `- [x] UAT-001: passed <ISO timestamp> - <short evidence>` When blocked or failed: - record under `## UAT Run Log`: - `- [ ] UAT-001: failed <ISO timestamp> - <problem>` - do not mark checked ### 4. Failure Loop If user says a UAT failed or describes a problem: 1. Capture exact repro, expected behavior, actual behavior, and evidence. 2. Search code/tests/docs for likely source. 3. Build a failure package with complete context: - UAT id/title and priority - user repro steps and user notes - expected vs actual behavior - evidence: logs, screenshots, command output, URLs, data state - related issue/plan references - suspected files/tests and validation commands 4. Send the failure package to `$candango-executor`. 5. `$candango-executor` restarts the fix loop with executor `$tdd` and validator review. 6. Re-run the failed UAT after executor/validator pass. 7. Return to the UAT checklist only after validation passes. Never bypass `$candango-executor` for failed UAT fixes. ## Stop Conditions Pause and ask when: - UAT steps require unavailable credentials or third-party access - environment setup cannot be inferred - expected behavior conflicts with plan/issues - user reports behavior that cannot be reproduced after investigation ## Output Keep a terse caveman report: - UATs passed - UATs failed/blocked - files updated - commands run - fix loop status when failures occurred
From lucasbayma/skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 25, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/lucasbayma/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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candango-uat-runner skill. Agent Mart. https://agentmart.dev/skills/lucasbayma-candango-uat-runner (last updated 2026-10-24)