SKILL·D3A371

conscientiousness

pjt222
更新于 1 month ago
7 次查看
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其他ai

关于

This skill enables Claude to systematically verify its work, ensuring thoroughness and preventing corner-cutting before finalizing tasks. It's designed for use when completing complex operations, when outputs feel incomplete, or when self-monitoring detects rushed patterns. The skill focuses on completeness verification and follow-through to guarantee deliverables match promises.

快速安装

Claude Code

推荐
主要方式
npx skills add pjt222/agent-almanac -a claude-code
插件命令备选方式
/plugin add https://github.com/pjt222/agent-almanac
Git 克隆备选方式
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/conscientiousness

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Conscientiousness

Systematic thorough, diligent — ensure complete, verify results, follow through every commitment, finish task to standard deserved.

When Use

  • Before mark task complete — final verification pass
  • Response feel "good enough" but task deserve better
  • After complex multi-step op — steps may have drifted
  • User request has many parts — each part need verify
  • Before submit code, docs, any deliverable for user review
  • Self-monitor detect pattern of cutting corners, rushing

Inputs

  • Required: Task or deliverable to verify (from conversation context)
  • Optional: Original user request (compare vs what delivered)
  • Optional: Checklist or acceptance criteria from user
  • Optional: Prior commitments during session (promises not yet checked)

Steps

Step 1: Reconstruct Full Commitment

Before check work, re-establish what was committed.

  1. Re-read user original request careful — not interpreted version, actual words
  2. List every explicit requirement mentioned
  3. List every implicit commitment made during session:
    • "I'll also update tests" — done?
    • "Let me fix that too" — completed?
    • "I'll check edge cases" — checked?
  4. Note any acceptance criteria from user
  5. Compare commitment list vs what actually delivered

Got: Complete list of commitments — explicit requirements plus implicit promises — preliminary match vs deliverables.

If fail: Original request no longer in context (compressed)? Reconstruct from remains, acknowledge gaps to user.

Step 2: Verify Completeness

Check every committed item addressed.

Completeness Matrix:
+---------------------+------------------+------------------+
| Commitment          | Status           | Evidence         |
+---------------------+------------------+------------------+
| [Requirement 1]     | Done / Partial / | [How verified]   |
|                     | Missing          |                  |
+---------------------+------------------+------------------+
| [Requirement 2]     | Done / Partial / | [How verified]   |
|                     | Missing          |                  |
+---------------------+------------------+------------------+
| [Promise 1]         | Done / Partial / | [How verified]   |
|                     | Missing          |                  |
+---------------------+------------------+------------------+
  1. For each item, verify with evidence — not memory, actual verification:
    • Code changes: re-read file to confirm change exists
    • Test results: re-run or reference actual output
    • Docs: re-read to confirm accuracy
  2. Mark each item: Done (fully complete), Partial (started but incomplete), Missing (not addressed)
  3. For Partial, Missing items: note what remains

Got: Every commitment has verified status. No item left unchecked.

If fail: Verification reveals missed items? Address immediately — not note for later. Conscientiousness means complete now, not intend to complete.

Step 3: Verify Correctness

Completeness necessary but not sufficient — what done must also be right.

  1. For each completed item, check:
    • Accuracy: Does what should? Values correct?
    • Consistency: Aligns with rest of work? No contradictions?
    • Edge cases: Boundary conditions considered?
    • Integration: Works with surrounding context?
  2. For code: survive code review? Obvious improvements?
  3. For docs: accurate, clear, free of errors?
  4. For multi-step: output of each step correctly feeds next?

Got: Each deliverable complete and correct. Errors caught before user sees.

If fail: Errors found? Fix immediately. Do not present work with known errors, even if errors seem minor.

Step 4: Verify Presentation

Final check: deliverable presented in way that serves user?

  1. Clarity: User understand what done without re-reading many times?
  2. Organization: Response structured logical? Related items grouped?
  3. Conciseness: Unnecessary padding or repetition?
  4. Actionability: User know what to do next?
  5. Honesty: Limitations, caveats clearly stated?

Got: Deliverable complete, correct, well-presented.

If fail: Presentation poor despite correct content? Restructure. Good work poorly presented is conscientiousness failure.

Checks

  • Original request re-read (not recalled from memory)
  • Every explicit requirement verified with evidence
  • Every implicit promise tracked and verified
  • Correctness checked beyond mere completeness
  • Edge cases considered where relevant
  • Deliverable clearly presented and actionable

Pitfalls

  • Verification theater: Going through motions of checking without actual re-read or re-verify. Check must use evidence, not memory
  • Partial conscientiousness: Check main deliverable but ignore side commitments ("I'll also..."). Every promise counts
  • Perfectionism masquerading as diligence: Endless polishing delays delivery. Conscientiousness means meet committed standard, not exceed indefinitely
  • Conscientiousness fatigue: Become less thorough as session progresses. Last task deserves same diligence as first
  • Skip for simple tasks: Assume simple tasks don't need verification. Simple tasks with errors more embarrassing than complex tasks with errors

See Also

  • honesty-humility — conscientiousness verifies completeness; honesty-humility ensures transparent reporting of what achieved, what not
  • heal — subsystem assessment overlaps with self-verification; conscientiousness focuses on deliverable quality
  • vishnu-bhaga — preservation of working state complements conscientiousness in maintaining quality
  • observe — sustained neutral observation supports verification process
  • intrinsic — genuine engagement (not compliance) drives thorough execution naturally

GitHub 仓库

pjt222/agent-almanac
路径: i18n/caveman/skills/conscientiousness
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams
FAQ

Frequently asked questions

What is the conscientiousness skill?

conscientiousness is a Claude Skill by pjt222. Skills package instructions and resources that Claude loads on demand, so Claude can perform conscientiousness-related tasks without extra prompting.

How do I install conscientiousness?

Use the install commands on this page: add conscientiousness to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does conscientiousness belong to?

conscientiousness is in the Other category, tagged ai.

Is conscientiousness free to use?

Yes. conscientiousness is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

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