skills/ai-marketing-skills/case-study-builder/SKILL.md
Turn client wins into formatted case studies for proposals, social proof, and sales conversations. Use when someone needs to document results, build credibility, or create reusable proof assets.
npx skillsauth add aaaaqwq/agi-super-skills case-study-builderInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Everyone wants social proof. Nobody makes time to create it. You finish a project, the client's happy, you move on — and six months later you're in a sales call with nothing to show.
This skill fixes that. Give me the raw details. I'll produce three formats you can use immediately.
Before generating anything, collect all 8 fields:
| Field | What to Collect | |---|---| | 1. Client | Industry, company size/stage, named or anonymized? | | 2. Before | What was broken or painful? Any numbers? | | 3. Actions | What did you specifically do? Scope, timeline, role | | 4. After | REQUIRED: at least one specific number | | 5. Timeline | How long to achieve the result? | | 6. Quote | Direct client quote if available | | 7. Naming | Can we name the client, or must we anonymize? | | 8. Use case | Where will this be used? (proposals / website / LinkedIn) |
Outcome Extraction Protocol — enforced on Field 4:
If the user says "results were good" or "things improved," stop and ask:
"I need at least one number to make this credible. Pick one:
- Revenue change (e.g., 'closed 3 new clients worth $15K')
- Time saved (e.g., 'cut from 10 hours to 2 hours/week')
- Lead volume (e.g., 'went from 0 to 5 inbound leads/month')
- Rough estimate is fine — it doesn't have to be exact."
Do not draft until Field 4 has at least one number.
Before drafting, reason through:
Tier system for results language:
| Tier | Type | Example | Language | |---|---|---|---| | 1 | Hard metric | "Revenue +40%" | State directly | | 2 | Soft metric | "Team finally aligned" | "For the first time in years..." | | 3 | Proxy metric | "Enabled Series A close" | "Contributed to..." | | 4 | Directional | "Noticeable improvement" | "Significant improvement in..." |
The client is the hero. You are the guide.
Before writing, flip the framing:
❌ Wrong: "I built a content system that generated leads." ✅ Right: "Sarah went from scrambling to fill her pipeline to getting 3 inbound inquiries per week — all from a content system we built in 6 weeks."
Every format should be written from what the CLIENT experienced, not what YOU delivered.
Formula: [What was done] + [scale/scope] + [for who] + [result or timeframe]
[Strong action verb] [what was delivered] for [specific client descriptor].
[Outcome metric] in [timeframe].
Example:
Built a full content system for a Series B SaaS founder with no marketing team. 0 to 3 inbound leads/week in 6 weeks.
Structure — 4 paragraphs, 150–250 words:
**Set the scene:** [Their situation when you arrived — 2-3 sentences with stakes]
**Show the complexity:** [What made this hard — 2-3 sentences]
**What happened:** [Specific actions taken — no feature lists, just moves]
**What changed:** [Outcome — the number + the transformation]
# Case Study: [Client Name or Descriptor]
## The Challenge
[2-3 paragraphs: situation, stakes, what wasn't working]
## The Approach
[Phases or steps — what happened and in what order]
## The Results
[Metrics, before/after comparison, named outcomes]
## Key Details
- Client: [Named or "A [descriptor] company"]
- Industry: [Sector]
- Timeline: [Duration]
- Scope: [What was delivered]
## What Made This Different
[Unique angle, unexpected obstacle, or pivotal insight]
## Client Quote
> "[Testimonial — or placeholder if not yet collected]"
> — [Name], [Title]
After generating all three formats, evaluate:
Two-liner:
Story version:
Full case study:
Flag any failure: "The story version has no tension — add one obstacle or unexpected challenge before the 'What happened' paragraph."
| Format | Best locations | When to use | |---|---|---| | Two-liner | Proposals, email bios, LinkedIn About section | Any sales context | | Story | LinkedIn post, podcast intros, sales call opener | Weekly content | | Full case study | Website portfolio page, PDF download, RFP response | Late-stage buyer research |
## Case Study: [Client Descriptor] — [Date]
### Situation Summary
[2-sentence analysis from Phase 1]
Result tier: [1/2/3/4]
---
### Format 1: Two-Liner
[Final copy]
### Format 2: Story Version
[Final copy]
### Format 3: Full Case Study
[Full markdown]
---
### Self-Critique Notes
- Two-liner: [pass/issue]
- Story: [pass/issue]
- Full: [pass/issue]
### Distribution Plan
[Where to use each]
### Next Step
[If no quote collected → run testimonial-collector]
[If strong story → suggest LinkedIn post from story format]
Cross-reference: If a client quote was captured here, run testimonial-collector to properly format and score it for your testimonial library.
Skill by Brian Wagner | AI Marketing Architect | brianrwagner.com
testing
AI驱动的智能浏览器自动化工具。使用LLM理解页面并自动执行任务,比传统Playwright更智能、更省token。适用于复杂交互、动态页面、需要智能决策的浏览器操作。Chrome浏览器优先。
tools
网页登录态管理。使用 fast-browser-use (fbu) 管理各平台登录状态,定期检查可用性,新平台授权时自动保存 profile。
development
Monitor and report on API provider quotas, balances, and usage. Query official providers (Moonshot, DeepSeek, xAI, Google AI Studio) and relay/proxy providers (Xingjiabiapi, Aixn, WoW) via their billing APIs. Also checks subscription services (Brave Search, OpenRouter). Generates quota reports. Triggers on "查额度", "API余额", "quota check", "billing report", "api balance", "供应商额度", "中转站余额", "费用报告", "check balance", "how much credit".
development
# A股基金监控 Skill A股基金净值监控,支持实时估值和盘后净值,自动判断交易日/节假日。 ## 用法 ### 快速监控(命令行) ```bash # 默认配置,输出到控制台 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh # 推送到群(使用--push参数) bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --push # 监控指定基金 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --codes "000979 002943" ``` ### Agent调用 ``` 执行A股基金监控任务。 1. 读取配置文件: ~/clawd/skills/a-fund-monitor/config.json 2. 获取实时净值数据 3. 非交易日自动切换为简短报告 配置文件格式: { "funds": [ {"code": "000979", "name": "景顺长城沪港深精选股票