Trending-skills dontbesilent-dbskill

```markdown

install

source · Clone the upstream repo

git clone https://github.com/Aradotso/trending-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/Aradotso/trending-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/dontbesilent-dbskill" ~/.claude/skills/aradotso-trending-skills-dontbesilent-dbskill && rm -rf "$T"

manifest: skills/dontbesilent-dbskill/SKILL.md

source content

---
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:

Axiom scan — which of the 6 axioms are violated
Problem dissolution — is this a real problem or a framing error
Signal classification — structural vs. psychological vs. execution
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:

Same customer type (not same product)
Same distribution channel
Same pricing tier
Similar company age/stage
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:

Audience-message fit
Format vs. platform norms
Value signal clarity
Call-to-action coherence
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:

List all uses of the term in circulation
Find family resemblances and contradictions
Identify which definition the user is actually operating with
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.

Trending-skills dontbesilent-dbskill

Skills Overview

Workflow

Usage

Main Router

`/dbs-diagnosis`
— Business Model Diagnosis

`/dbs-benchmark`
— Benchmark Analysis

`/dbs-content`
— Content Diagnosis

`/dbs-unblock`
— Execution Unblock

`/dbs-deconstruct`
— Concept Deconstruction

Knowledge Base (Standalone Use)

Directory Structure

Knowledge Atom Format

Field Reference

Using the Knowledge Base Without Installing Skills

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

Scenario 2: RAG pipeline

Scenario 3: Topic-based filtering

Scenario 4: Build a standalone chatbot

Common Patterns

Pattern: Full workflow for a new venture

Pattern: Stuck on a single concept

Pattern: Content not converting

Pattern: Cross-skill signal handoff

Troubleshooting

License