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human-feedback

Use when evaluating human feedback or conducting interactive UI verification.

Skill by wayne930242

IndexedMIT★ 2
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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/wayne930242-human-feedback

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

Use when evaluating human feedback or conducting interactive UI verification.

Use cases: design

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/human-feedback

What's inside

Skill name
human-feedback
Description
Use when evaluating human feedback or conducting interactive UI verification.
License
MIT
Instructions
80 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Human Feedback

Turn a person's reaction to working output into an evidence-backed root cause and
a correction made at that root. This skill owns diagnosis, not implementation.

## 1. Enter

Two entries:

- **Detected:** a person reacts to working code, design, or documentation.
  Invoke on the reaction itself, before answering it.
- **Invited:** verification covers UI or a human-use scenario and the user
  accepted a feedback pass. Name the real interface and the flows to operate,
  then collect what the person observed.

Route a crash or reproducible failure to the `coding` bug-fix playbook and a
request for new behavior to its feature playbook. A reaction with no
identifiable target may be venting; ask whether the user wants it investigated.

**Complete when:** there is a working code, design, or documentation target the
person wants improved.

## 2. Diagnose

Attend to the problem the person has, ahead of the fix they propose. Identify
separately:

- the person's observed experience and the need left unmet
- the friction that turns that experience into negative feedback
- the behavior, design, or documentation decision that creates the friction
- the documented standard, best practice, or project precedent it violates

Use `investigating` for substantial cross-source research. If the causal decision
and violated standard are unsupported by evidence, classify the reaction as a
preference rather than invent a defect.

Treat justification added to a response or document as a workaround signal: it
manages the perception of the friction while leaving its source intact. Continue
diagnosis until the correction addresses that source and the document can state
the expected behavior directly.

**Complete when:** the chain `feedback → experience → friction → root cause →
positive correction` is evidence-backed.

## 3. Correct at the source

Propose the smallest correction that removes the friction where it originates.
Phrase its target as observable expected behavior for the person and any document
reader. When wording creates the friction, rewrite it to state that behavior
directly; when behavior or design creates it, correct the source and align the
document with the result.

The correction carries the source's own shape:

- It lands on the causal decision, so the same friction cannot return through a
  sibling path.
- It matches the pattern, terminology, and layer that already govern that source.
- A defensive guard belongs where the input is genuinely untrusted or the failure
  is genuinely reachable; a root proven correct carries none.
- A fallback or special case belongs where its branch is a real case of the
  domain; a branch that exists to mask the root belongs in the root instead.

Use `grilling` when viable alternatives carry a real user-owned trade-off, and
wait for the user there. When the cause and the correction carry no such
trade-off, state both and continue; treat later disagreement as new diagnostic
input.

## 4. Hand off

Return the confirmed chain as decision input to `coding` for a source fix, or
to `writing` for a document fix.

**Complete when:** no change was requested, or the owning entry has received a
confirmed correction target.

## 5. Reflexive System Placement

When feedback conveys a preference or convention rather than an isolated code bug, hand the preference to `reflecting-to-root` and any procedure change to `solid-loop`.

From wayne930242/aaaav, MIT.

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Forks
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Last commit (this folder)
Oct 21, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

human-feedback skill. Agent Mart. https://agentmart.dev/skills/wayne930242-human-feedback (last updated 2026-10-24)