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dbs-deconstruct

Deconstruct vague business concepts using Wittgensteinian philosophy and Austrian economics. Use when the user requests an explanation of a term, clarification of conceptual boundaries, or identification of concept conflation.

L1 Basic · Source registration onlyV1 Commit-PinnedDual-pass Audit

Author dontbesilent2025GitHub dontbesilent2025/dbskill ↗Stars 10121License CC BY-NC 4.0（Attribution-NonCommercial 4.0 International；仓库根 LICENSE 明文 NonCommercial — 非商业授权，不得商用；GitHub API license=NOASSERTION/Other，因 CC BY-NC 不在 SPDX 常见许可标识内；Copyright (c) 2026 dontbesilent）Commit 8b8e33f1ec

Control levels describe skill capabilities and suggested control measures; they do not represent quality or safety certifications, nor do they dictate usability. Usage decisions rest entirely with users and administrators. Different agent hosts apply varying constraints; do not assume hosts provide automatic protection. Third-party skill copyrights belong to their original authors. Use at your own risk.

1How It Works & Mechanism

Pure prompt skill: Formulates Wittgenstein's philosophy of language and Austrian economics into a 'concept deconstruction' prompt workflow, with no scripts in the directory.

skills/dbs-deconstruct/SKILL.md

你是 dontbesilent 的概念拆解 AI。

All behaviors occur on the model output side; the directory contains only SKILL.md and agents/openai.yaml.

Clear mission positioning: Treats 'language bewitchment' as the target for elimination, rather than merely explaining vague concepts clearly.

skills/dbs-deconstruct/SKILL.md

**核心使命：反对语言对理智的蛊惑。**

Cites Wittgenstein's philosophy of language as the methodological foundation, determining the criteria for subsequent 'pseudo-concept detection'.

Principle 1 links 'clarity' with 'leverage': Turning tacit knowledge into explicit, rule-based structures is essential for handoff to AI execution.

skills/dbs-deconstruct/SKILL.md

如果你说不清楚一件事，你就不理解这件事。

This is the commercial focal point: concept deconstruction is not an academic exercise, but a means to convert judgments into deliverable rules (aligning with the dbskill Agent mainline).

Principle 2 'Meaning is use': The validity of a concept depends not on its definition, but on how it is used across different scenarios.

skills/dbs-deconstruct/SKILL.md

### 原则 2：意义即使用

Directly sets the Phase 2.1 question: 'Does this word mean the same thing when spoken by different people?'

Ontological reconstruction using the 7 tables of the Tractatus Logico-Philosophicus: Object, State of Affairs, Complex State of Affairs, Relation, Rule, Form, and Definition as a deep analysis path.

skills/dbs-deconstruct/SKILL.md

用《逻辑哲学论》的结构化方法重组商业概念：

The 7 tables are invoked only when 'the user requests a deep breakdown or the concept is particularly complex' (Phase 5 optional) to avoid running heavy workflows every time.

Distinguishes Question from Problem: Questions with definitive answers vs. dilemmas that can only be resolved through practice, pointing out that most business questions are the latter disguised as the former.

skills/dbs-deconstruct/SKILL.md

**Question**：有标准答案，可以用线性文字回答

The output template consistently includes the section '## Is This a Question or a Problem?', leading to the conclusion 'you asked the wrong question' rather than 'let me explain again'.

Phase 3 recalibrates business concepts using the Austrian framework (subjective theory of value, action precedes theory, anti-rationalist constructivism, price signals).

skills/dbs-deconstruct/SKILL.md

- **反理性建构主义**：这个概念是否假设了某种可以被设计的秩序？市场是自发秩序。

This layer specifically filters out pseudo-concepts that pretend to be 'designable/computable' (such as 'IP positioning'), serving as the dividing line between this skill and ordinary 'glossary explanation' tools.

Actionable pseudo-concept detection criteria: Strip the term away and explain the same phenomenon in plain English; if it makes sense, it was just jargon packaging; if it doesn't, it was masking a void in understanding.

skills/dbs-deconstruct/SKILL.md

如果去掉这个词，用大白话说同一件事，你还能说清楚吗？

The output template consistently includes '## In Plain Words', enforcing the detection result to be written in accessible human language.

Documented stylistic discipline and boundaries of the unspeakable: precise as dissection, unafraid to call out pseudo-concepts, ending in plain language, and maintaining silence on what cannot be spoken clearly.

skills/dbs-deconstruct/SKILL.md

4. **维特根斯坦式的克制。** 不说超出你能说清楚的东西。「对于不可说的东西，必须保持沉默。」

The 'Things Strictly Forbidden' section explicitly bans explaining concepts with even more complex concepts, pretending to understand, or offering profound-sounding yet empty analyses.

Unified exit: Halts immediately upon task completion; suggests the main router only when /dbs is installed and the user asks for next steps.

skills/dbs-deconstruct/SKILL.md

完成当前任务后直接结束。只有用户明确询问下一步，且当前环境已经安装 `/dbs` 时，简短提示：「下一步不确定时，可以输入 `/dbs`。」

Standardized closing script for the dbskill family.

2Core Capabilities

01Usage scenario analysis: Auditing ambiguities of the same term across different users and contexts

02Concept reduction: Tracing original context, core attributes, distortions in business migration, and boundaries of applicability

03Pseudo-concept detection (evaluating whether it can be explained in plain language after stripping the term)

04Austrian economics four-question recalibration

05Question vs. Problem discrimination and identification of disguised dilemmas

067-table ontological deep deconstruction (optional)

07Standard deconstruction report template (What you think it is / Usage table / Concept reduction / Plain words / Question or Problem / In a single sentence)

08Inlined case library (Podcasts / Precise traffic / Type A vs Type B problems / IP positioning / Track vs Industry)

4Recommended Governance & Evidence

Suggested Controls for Safe Operation

For Agent Runtime

Can be auto-loaded

For Administrators

Register source and version

Evidence & Triggers (File Paths & Excerpts)

SKILL.md: Pure prompt instructions and rule texts; no script execution or external impact.

Audit Notes: The audit targets the skill's own directory (dbs-deconstruct/SKILL.md + agents/openai.yaml): zero scripts, zero network endpoints, zero credential access, and zero disk writes (ZERO HITS on dangerous token scan). All behaviors take place strictly on the model output side. Points of note are methodological stances (Austrian economics and anti-jargon posture) and perceived risks of 'model-generated deconstruction conclusions,' which are not code-level risks. Host tools and external platform behaviors do not serve as criteria for this rating.

5Second-Pass Verification

[ok] 纯 prompt、无脚本 — 目录仅 SKILL.md(8263B) + agents/openai.yaml(272B)；危险 token 扫描零命中。
[ok] 七张表与奥派框架真实存在 — SKILL.md 原则 3 列出 7 张表；Phase 3 列出主观价值论/行动先于理论/反理性建构主义/价格信号四项。
[ok] Question / Problem 二分 — 原则 4 + 输出模板「## 这是 Question 还是 Problem？」均在原文。
[ok] 伪概念检测判据可执行 — 原文「如果去掉这个词，用大白话说同一件事，你还能说清楚吗？」与「## 用大白话说」模板呼应。
[ok] 外部依赖为空 — 无 URL/CLI/包依赖；奥派与维特根斯坦仅作为方法论叙述，未指向外部资源或工具。
[ok] 无写盘、无凭证读取 — 正文无保存文件指令；grep process.env|API_KEY|keychain 零命中。
[ok] description 与内容相符（无夸大） — description 称「用维特根斯坦与奥派经济学方法拆解模糊的商业概念」，对应原则 1-4 + Phase 2/3，无越界承诺。
[ok] commit / license / stars / last_push — HEAD = 8b8e33f1ecaed8cee606fe950c4426b525ead314；LICENSE = CC BY-NC 4.0（含 NonCommercial）；GitHub API stars 10121、pushed_at 2026-09-07T03:48:59Z。

6Verdict & Scenarios

Actionable methodology: Breaks 'conceptual ambiguity' into four steps—usage scenario analysis, concept reduction, pseudo-concept detection, and Austrian calibration—each with clear criteria.

Forced plain language: The report template consistently includes '## In Plain Words', preventing the deconstruction from generating new jargon.

Legitimizes 'no answer': The Question/Problem dichotomy makes 'this question is invalid' an acceptable and rigorous conclusion.

Restraint and discipline: Remains silent when clarity is impossible, forbidding pretended understanding and vacuous analysis.

Zero-dependency portability: The case library is inlined within SKILL.md, making it ready to use on any host platform that supports skills.

Best for: Ideal for business and content practitioners who get stuck on a buzzword: when you do not understand what others actually mean by 'precise traffic,' 'private domain,' or 'IP positioning,' or when you want to determine whether an industry term is a genuine concept or mere packaging. It delivers a comprehensive breakdown: 'How different people use it → Original context → Plain language without the term → Whether it is a Question or a Problem.'

Not for: Not suitable for scenarios requiring neutral semantic definitions or academic etymology (this skill inherently holds an Austrian perspective); not suitable when industry jargon must be preserved for team communication alignment; not suitable for polishing individual copy or headline optimization (route to dbs-hook / dbs-content instead); nor suitable for inquiries expecting empirical data or legal conclusions.

Install Agent-Ready

① Verified Mirror 2026-09-15

Option A · Direct DownloadDownload dbs-deconstruct.tar.gz

sha256: 8792b285a8b69a46…

Option B · Copy Guide for Agent

Agents automatically download and verify mirrors from this JSON guide.

② Upstream GitHub

GitHub Repo ↗

Pinned to commit 8b8e33f1ec.