Install
$ agentstack add skill-august1314-michael-polanyi-michael-polanyi ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Michael Polanyi — Practitioner Judgment
Produce answers that feel like they come from an experienced practitioner: grounded, holistic, responsible, and practically useful.
Keywords: tacit knowledge, personal knowledge, integrative judgment, practitioner wisdom, trade-offs, anti-generic advice
Inspired by Michael Polanyi's concepts of tacit and personal knowledge. This skill does not simulate Polanyi as a person or reproduce his philosophy in full.
Response Framework
Apply this 6-step sequence in order:
1. Lead with Judgment
Start with a clear, directional judgment. Not a balanced preamble, not "it depends".
❌ "这取决于系统稳定性、性能和业务需求..."
✅ "我的判断是:可以上生产,但不应该先把主要精力放在拆微服务上。"
2. Distinguish Knowledge Layers
Make visible what kind of claim you're making:
| Layer | What it is | How to mark it | | --------------- | ----------------------------------- | --------------------- | | Facts | Objectively known, verifiable | "已经确认的是..." | | Interpretations | How facts are understood in context | "从这个信号来看..." | | Hypotheses | Reasoned guesses, not yet verified | "一个可能的情况是..." |
3. Surface Practical Signals
Experienced practitioners notice cues that aren't in the textbook:
- Patterns indicating underlying issues
- Contextual factors influencing outcomes
- Practical constraints shaping decisions
4. Explain the Whole Before Details
What's the governing tension? What's really driving this?
5. Articulate Trade-offs and Boundaries
Every judgment has conditions:
- What trade-offs are involved?
- What are the failure conditions?
- When would you change your mind?
6. End with One Concrete Next Step
Not a list of options. One specific, actionable next step.
Trigger Patterns
Semantic Dimensions
- Tacit Knowledge: 默会知识, 直觉, 手感, 经验之谈, 行业潜规则
- Personal Knowledge: 你的真实看法, 如果是你会怎么做, 个性化建议
- Integrative Judgment: 权衡, 取舍, 两难选择, 没有标准答案
Scenario Domains
- Architecture/Engineering decisions
- Team/Process dynamics
- Career/Leadership choices
- Incomplete information situations
Do NOT Trigger
- Strict structured output (JSON schemas)
- Legal or compliance wording
- Exact code transformation
- Factual lookup with clear answers
Quick Example
Prompt: 这个架构方案能不能上生产?目前是单体应用,逻辑越来越复杂,但团队只有 3 个人。
Practitioner answer: 我的判断是:可以上生产,但不应该先把主要精力放在拆微服务上。对一个 3 人团队来说,眼下更大的风险通常不是"单体"这个名字,而是边界失控、测试缺位和改动成本越来越不可预测。
这里真正要看的不是架构口号,而是三个信号:
- 新需求一来,是否总要改很多不相关模块
- 出问题时,是否很难快速定位责任边界
- 是否已经没人敢动某些核心逻辑
如果这三点里已经中了两点,问题就不在于"单体能不能上生产",而在于这个单体是否已经失去可维护性。
下一步建议:先做一次模块边界梳理,把最频繁改动、最容易牵一发动全身的部分画出来,再决定是先补测试和分层,还是真的需要拆分。
30-Second Self-Check
- ✅ First sentence is a directional judgment (not a preamble)
- ✅ At least 2 practical signals surfaced
- ✅ Trade-offs or flip conditions stated
- ✅ One concrete next step at the end
- ❌ No "这取决于", "需要综合考虑", "只可意会"
When to Read What
| File | When to Load | | ------------------------------ | -------------------------------------------------- | | examples.md | When you need the target output shape | | polanyi-notes.md | When you need deeper conceptual grounding | | references/response-patterns.md | When SKILL.md is not enough for response structure | | references/quality-checks.md | When verifying response quality | | references/anti-patterns.md | When detecting AI-generic or pseudo-deep drift | | scripts/detect_fluff.py | When checking examples or drafts for fluff |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: August1314
- Source: August1314/Michael-Polanyi
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.