aradotso/skills/dontbesilent-dbskill

---
name: dontbesilent-dbskill
description: Claude Code skill for dontbesilent's business diagnosis toolkit — routes to diagnosis, benchmark, content, unblock, and deconstruct skills built from 12,307 tweets
triggers:
  - diagnose my business model
  - help me find a benchmark competitor
  - diagnose my content strategy
  - I'm stuck and can't execute
  - deconstruct this concept for me
  - run business diagnosis
  - use dbs skill
  - commercial diagnosis
---

# dontbesilent-dbskill

> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.

Business diagnosis toolkit for Claude Code. Distilled from 12,307 tweets into 4,176 structured knowledge atoms across 6 diagnostic skills.

---

## Installation

```bash
npx skills add dontbesilent2025/dbskill

Or manually:

git clone https://github.com/dontbesilent2025/dbskill.git /tmp/dbskill \
  && cp -r /tmp/dbskill/skills/dbs* ~/.claude/skills/ \
  && rm -rf /tmp/dbskill

After installation, use /dbs inside Claude Code.

---

Skills Overview

| Command | Purpose | |---|---| | /dbs | Main entry point — auto-routes to the right tool | | /dbs-diagnosis | Business model diagnosis. Dissolves problems rather than answering them | | /dbs-benchmark | Benchmark analysis. Five filters to eliminate noise | | /dbs-content | Content creation diagnosis. Five-dimension detection | | /dbs-unblock | Execution diagnosis. Adlerian framework | | /dbs-deconstruct | Concept deconstruction. Wittgensteinian audit |

Workflow

diagnosis (is the business model right?)
    ↓
benchmark (who to model after?)
    ↓
content (how to do content?)
    ↓
unblock (can't move forward?)

deconstruct (deconstruct concepts at any step)

Skills auto-recommend next steps. For example, if diagnosis detects psychological blockers, it suggests unblock.

---

Usage

Main Router

/dbs I'm running a consulting business but clients keep ghosting after the first call

The /dbs router reads the input and dispatches to the correct skill automatically.

---

/dbs-diagnosis — Business Model Diagnosis

What it does: Applies 6 axioms + a dissolution funnel to identify whether you have a real business problem or a false framing problem.

/dbs-diagnosis
My SaaS has 200 signups but nobody converts to paid. We have a free tier.

Typical output structure:

1. Axiom scan — which of the 6 axioms are violated
2. Problem dissolution — is this a real problem or a framing error
3. Signal classification — structural vs. psychological vs. execution
4. Recommended next skill

When to use:

• Revenue is flat but you can't identify why
• You're about to pivot and want a second opinion
• The business "feels wrong" but you can't articulate it

---

/dbs-benchmark — Benchmark Analysis

What it does: Finds who to model after using five filters to exclude misleading comparisons.

/dbs-benchmark
I run a Mandarin tutoring service for adult professionals in Europe. Who should I benchmark?

Five filters applied:

1. Same customer type (not same product)
2. Same distribution channel
3. Same pricing tier
4. Similar company age/stage
5. Accessible operational data

When to use:

• Deciding on pricing
• Choosing a growth channel
• Evaluating whether your metrics are good or bad

---

/dbs-content — Content Diagnosis

What it does: Five-dimension detection for content that isn't working.

/dbs-content
My Twitter posts get impressions but zero engagement. I post about productivity and tools.

Five dimensions checked:

1. Audience-message fit
2. Format vs. platform norms
3. Value signal clarity
4. Call-to-action coherence
5. Consistency and cadence

When to use:

• Content gets views but no conversions
• You don't know what to post
• Engagement dropped suddenly

---

/dbs-unblock — Execution Unblock

What it does: Diagnoses why you're not executing using the Adlerian framework (goal conflict, not willpower failure).

/dbs-unblock
I know exactly what I need to do but I keep procrastinating on cold outreach for 3 weeks.

Framework applied:

• Adlerian teleology: behavior serves a hidden goal
• Signal detection: what does avoiding this action protect?
• Reframe: surface the competing commitment
• Micro-action prescription

When to use:

• You know what to do but aren't doing it
• Procrastination on specific high-value tasks
• Execution works in some areas but breaks down in others

---

/dbs-deconstruct — Concept Deconstruction

What it does: Wittgensteinian audit of vague business concepts to find where language is causing confusion.

/dbs-deconstruct
What does "product-market fit" actually mean for a services business?

Process:

1. List all uses of the term in circulation
2. Find family resemblances and contradictions
3. Identify which definition the user is actually operating with
4. Replace with concrete observables

When to use:

• A concept feels important but you can't act on it
• Team alignment is failing around a shared term
• You're using a term from one domain in another domain

---

Knowledge Base (Standalone Use)

The knowledge base is fully open. You don't need the Skills installed to use it.

Directory Structure

知识库/
├── 原子库/                     # Structured knowledge database
│   ├── atoms.jsonl             # 4,176 knowledge atoms (full)
│   ├── atoms_2024Q4.jsonl
│   ├── atoms_2025Q1.jsonl
│   └── README.md
│
├── Skill知识包/                 # Distilled methodology docs
│   ├── diagnosis_公理与诊断框架.md
│   ├── diagnosis_问题消解案例库.md
│   ├── benchmark_对标方法论.md
│   ├── benchmark_平台运营知识.md
│   ├── content_内容创作方法论.md
│   ├── content_平台特性与案例.md
│   ├── unblock_心理诊断框架.md
│   ├── unblock_信号案例库.md
│   ├── deconstruct_语言与概念框架.md
│   └── deconstruct_解构案例库.md
│
└── 高频概念词典.md

Knowledge Atom Format

{
  "id": "2024Q4_042",
  "knowledge": "判断一个生意能不能做，必要条件之一是你能不能说出这个产品的颜色",
  "original": "判断一个生意能不能做，必要条件之一是你能不能说出这个产品的颜色...",
  "url": "https://x.com/dontbesilent/status/...",
  "date": "2024-10-01",
  "topics": ["商业模式与定价", "语言与思维"],
  "skills": ["dbs-diagnosis", "dbs-deconstruct"],
  "type": "anti-pattern",
  "confidence": "high"
}

Field Reference

| Field | Values | Notes | |---|---|---| | type | principle / method / case / anti-pattern / insight / tool | Filter for cases: ~700+ entries | | confidence | high / medium / low | Use high for system prompts | | topics | 10 categories (multi-select) | e.g. "心理与执行力" has 296 atoms | | skills | One or more skill IDs | Cross-reference to skill docs |

---

Using the Knowledge Base Without Installing Skills

Scenario 1: Add business diagnosis to your own AI system prompt

Copy the content of 知识库/Skill知识包/diagnosis_公理与诊断框架.md into your system prompt. Your AI gets the 6-axiom framework + dissolution funnel immediately.

Scenario 2: RAG pipeline

import json

atoms = []
with open("知识库/原子库/atoms.jsonl") as f:
    for line in f:
        atoms.append(json.loads(line))

# Filter high-confidence diagnosis atoms
diagnosis_atoms = [
    a for a in atoms
    if "dbs-diagnosis" in a["skills"] and a["confidence"] == "high"
]

# Filter only cases and anti-patterns
cases = [a for a in atoms if a["type"] in ("case", "anti-pattern")]
print(f"{len(cases)} case/anti-pattern atoms available")

Scenario 3: Topic-based filtering

# Get all execution/psychology atoms
unblock_atoms = [
    a for a in atoms
    if "心理与执行力" in a["topics"]
]
# ~296 atoms

# Get all pricing atoms
pricing_atoms = [
    a for a in atoms
    if "商业模式与定价" in a["topics"]
]

Scenario 4: Build a standalone chatbot

# System prompt = methodology doc
with open("知识库/Skill知识包/diagnosis_公理与诊断框架.md") as f:
    system_prompt = f.read()

# RAG = atoms.jsonl loaded into your vector DB
# No Claude Code required

---

Common Patterns

Pattern: Full workflow for a new venture

1. /dbs-diagnosis  → validate business model logic
2. /dbs-benchmark  → find comparable operators to study
3. /dbs-content    → design content strategy
4. /dbs-unblock    → address execution resistance

Pattern: Stuck on a single concept

/dbs-deconstruct What does "niche down" mean for a B2B agency?

Use this before any strategy discussion where the key term feels fuzzy.

Pattern: Content not converting

/dbs-content
Platform: LinkedIn
Post type: text posts about leadership
Current result: 200 impressions, 1-2 likes, 0 DMs
Goal: inbound leads for $5k/month coaching

The more specific the input, the more targeted the five-dimension output.

Pattern: Cross-skill signal handoff

Skills auto-detect when a different skill would be more useful:

• diagnosis → detects avoidance language → recommends unblock
• benchmark → finds no valid comparables → recommends diagnosis (may be category creation)
• content → detects unclear positioning → recommends diagnosis
• unblock → detects concept confusion → recommends deconstruct

---

Troubleshooting

/dbs not found after installation

Check that files were copied to the correct location:

ls ~/.claude/skills/ | grep dbs

Expected output:

dbs
dbs-benchmark
dbs-content
dbs-deconstruct
dbs-diagnosis
dbs-unblock

If missing, re-run the manual install:

git clone https://github.com/dontbesilent2025/dbskill.git /tmp/dbskill \
  && cp -r /tmp/dbskill/skills/dbs* ~/.claude/skills/ \
  && rm -rf /tmp/dbskill

Knowledge base files not loading

Skills read knowledge packages from relative paths. If you moved skill files, ensure the 知识库/Skill知识包/ directory is co-located or update path references in the SKILL.md files.

Getting generic responses instead of framework-driven ones

Provide more context. The skills route based on signal words. Instead of:

/dbs-diagnosis my business isn't working

Use:

/dbs-diagnosis
Business: B2B SaaS, $99/month, 50 paying customers, churn is 15%/month
Problem: can't figure out if this is a product problem or a sales problem
What I've tried: improved onboarding, added a success call

Atoms.jsonl is large — only need a subset

# Extract only high-confidence principle atoms
grep '"confidence": "high"' 知识库/原子库/atoms.jsonl | \
  grep '"type": "principle"' > principles_high.jsonl

---

License

CC BY-NC 4.0. Free for personal use, learning, research, non-commercial projects. Commercial use requires separate authorization. Contact the author at @dontbesilent.