manual-qa-plan
Skill1 starsChanged 3 months agoMITView on GitHub
Create and execute a human-owned QA plan with deterministic browser evidence for frontend workflows.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Ostico/Skillstheir own version, first seen Aug 12, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- Ostico/Skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository28 other files it gives its agents.
- AGENTS.mdAGENTS.md
- skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- ai-sdkSkill
- anti-slopSkill
- architecture-auditSkill
- browseSkill
- cavemanSkill
- context-budgetSkill
- design-mdSkill
- e2e-testingSkill
- error-handlingSkill
- find-skillsSkill
- fresh-context-reviewSkill
- frontend-designSkill
- graph-memorySkill
- grill-meSkill
- listenSkill
- next-best-practicesSkill
- nextjs-app-router-patternsSkill
- prd-to-issuesSkill
- project-feedbackSkill
- project-memorialSkill
- scrollcraftSkill
- sequential-afk-runnerSkill
- shadcnSkill
- tddSkill
- vercel-react-best-practicesSkill
- write-prdSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this skill after implementation review and before final human acceptance.
- Very specific: line 54
Use Playwright only when it reduces repeatable browser work.
- Distinctive: line 63
Create one issue per observable finding:
- Distinctive: line 91
Do not silently convert a human finding into an automated pass.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Manual QA Plan
Use this skill after implementation review and before final human acceptance. The plan is a human QA record, not an automated approval. Browser checks provide repeatable behavioral and visual evidence; a human owns product judgment.
Entry Information
Require the bounded issue, acceptance criteria, target users, supported browsers,
seed/reset command, startup command, test credentials or role model, and the
environment URL. Return BLOCKED when a required input is missing.
Human QA Checklist
Record PASS, FAIL, BLOCKED, or NOT APPLICABLE, notes, and evidence for each:
- Primary workflow: complete the main user journey with realistic seeded data; verify persistence, navigation, confirmation, and recovery after refresh.
- Empty state: reset to no records and confirm the message explains what happened and offers the correct next action.
- Loading state: exercise a delayed response and check that feedback is visible, stable, accessible, and does not permit unsafe duplicate actions.
- Error state: exercise a failed request and verify a specific user-facing recovery path; inspect that partial data is not presented as success.
- Boundaries and validation: blank, minimum, maximum, malformed, duplicate, rapid repeat, back/refresh, and network interruption cases relevant to the issue.
- Authentication and authorization: signed-out, authenticated, expired-session, permitted-role, and forbidden-role behavior; verify no protected data leaks.
- Responsive behavior: inspect desktop and mobile widths, orientation-sensitive layouts, keyboard focus, touch targets, overflow, and text wrapping.
- Realistic data: use representative names, long values, dates, counts, and any domain-specific sensitive-looking values without production data.
- Browser health: review console errors/warnings and failed or unexpected network requests. Attach logs rather than relying on memory.
- Visual quality and usability: human judges hierarchy, legibility, contrast, spacing, alignment, copy, affordances, feedback, and whether the flow feels trustworthy and complete. Automated screenshots are evidence only.
Ownership Boundary
Automated evidence may establish that selectors, state transitions, viewport layouts, console capture, and request-failure detection occurred. It cannot accept visual taste, copy quality, usability, accessibility in the broad sense, security, realistic product fit, or release readiness. A human must explicitly record those decisions and acceptance boundaries.
Deterministic Browser Evidence
Use Playwright only when it reduces repeatable browser work. Prefer stable locators,
explicit state/query fixtures, waitFor conditions, one worker, no arbitrary sleeps,
and fixed desktop/mobile viewport projects. Capture full-page screenshots, console
messages, failed requests, URL, viewport, fixture seed, and exact command. Keep
the server and browser lifecycle sequential. Do not use a passing screenshot as a
visual acceptance claim.
QA Finding Follow-up Issue
Create one issue per observable finding:
## QA Finding: <short observable problem>
status: blocked | ready | accepted-risk | resolved
severity: critical | high | medium | low
affected_workflow: <workflow/state>
owner_or_human_decision: <named owner or decision required>
environment: <browser, viewport, build, seed, URL>
### Observable Problem
<what the user sees or what fails>
### Reproduction Steps
1. <exact step>
2. <exact step>
### Evidence
- screenshot: <path>
- browser log: <path>
- network/trace artifact: <path or none>
### Proposed Acceptance Criteria
- [ ] <observable correction>
blocker_status: blocks human acceptance | does not block human acceptanceDo not silently convert a human finding into an automated pass. Preserve the finding and ask the human owner when severity, product behavior, or acceptance is uncertain.
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

