# Send Case Study Writing to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "case-study-writing",
    "name": "Case Study Writing",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/okaris/case-study-writing",
    "canonicalUrl": "https://clawhub.ai/okaris/case-study-writing",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/case-study-writing",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=case-study-writing",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "case-study-writing",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-01T08:44:13.965Z",
      "expiresAt": "2026-05-08T08:44:13.965Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=case-study-writing",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=case-study-writing",
        "contentDisposition": "attachment; filename=\"case-study-writing-0.1.5.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "case-study-writing"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/case-study-writing"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/case-study-writing",
    "downloadUrl": "https://openagent3.xyz/downloads/case-study-writing",
    "agentUrl": "https://openagent3.xyz/skills/case-study-writing/agent",
    "manifestUrl": "https://openagent3.xyz/skills/case-study-writing/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/case-study-writing/agent.md"
  }
}
```
## Documentation

### Case Study Writing

Create compelling B2B case studies with research and visuals via inference.sh CLI.

### Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Research the customer's industry
infsh app run tavily/search-assistant --input '{
  "query": "SaaS customer onboarding challenges 2024 statistics"
}'

Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

### The STAR Framework

Every case study follows: Situation -> Task -> Action -> Result

SectionLengthContentPurposeSituation100-150 wordsWho the customer is, their contextSet the sceneTask100-150 wordsThe specific challenge they facedCreate empathyAction200-300 wordsWhat solution was implemented, howShow your productResult100-200 wordsMeasurable outcomes, before/afterProve value

Total: 800-1200 words. Longer loses readers. Shorter lacks credibility.

### 1. Headline (Lead with the Result)

❌ "How Company X Uses Our Product"
❌ "Company X Case Study"

✅ "How Company X Reduced Onboarding Time by 60% with [Product]"
✅ "Company X Grew Revenue 340% in 6 Months Using [Product]"

The headline should be specific, quantified, and state the outcome.

### 2. Snapshot Box

Place at the top for skimmers:

┌─────────────────────────────────────┐
│ Company: Acme Corp                  │
│ Industry: E-commerce                │
│ Size: 200 employees                 │
│ Challenge: Manual order processing  │
│ Result: 60% faster fulfillment      │
│ Product: [Your Product]             │
└─────────────────────────────────────┘

### 3. Situation

Who is the customer (industry, size, location)
What relevant context existed before the problem
1-2 sentences of company background

### 4. Task / Challenge

Quantify the pain: "spending 40 hours/week on manual data entry" not "had data problems"
Show stakes: what would happen if unsolved (lost revenue, churn, missed deadlines)
Include a customer quote about the frustration

### 5. Action / Solution

What was implemented (your product/service)
Timeline: "deployed in 2 weeks" / "3-month rollout"
Key decisions or configurations
Why they chose you over alternatives (briefly)
2-3 specific features that addressed the challenge

### 6. Results

Before/after metrics — always quantified
Timeframe — "within 3 months" / "in the first quarter"
Unexpected benefits beyond the original goal
Customer quote about the outcome

### How to Present Numbers

❌ "Improved efficiency"
❌ "Saved time"
❌ "Better results"

✅ "Reduced processing time from 4 hours to 45 minutes (81% decrease)"
✅ "Increased conversion rate from 2.1% to 5.8% (176% improvement)"
✅ "Saved $240,000 annually in operational costs"

### Metric Categories

CategoryExamplesTimeHours saved, time-to-completion, deployment speedMoneyRevenue increase, cost reduction, ROIEfficiencyThroughput, error rate, automation rateGrowthUsers gained, market expansion, feature adoptionSatisfactionNPS change, retention rate, support tickets reduced

### Data Visualization

# Generate a before/after comparison chart
infsh app run infsh/python-executor --input '{
  "code": "import matplotlib.pyplot as plt\\nimport matplotlib\\nmatplotlib.use(\\"Agg\\")\\n\\ncategories = [\\"Processing Time\\", \\"Error Rate\\", \\"Cost per Order\\"]\\nbefore = [4, 12, 8.50]\\nafter = [0.75, 1.5, 2.10]\\n\\nfig, ax = plt.subplots(figsize=(10, 6))\\nx = range(len(categories))\\nwidth = 0.35\\nax.bar([i - width/2 for i in x], before, width, label=\\"Before\\", color=\\"#ef4444\\")\\nax.bar([i + width/2 for i in x], after, width, label=\\"After\\", color=\\"#22c55e\\")\\nax.set_ylabel(\\"Value\\")\\nax.set_xticks(x)\\nax.set_xticklabels(categories)\\nax.legend()\\nax.set_title(\\"Impact of Implementation\\")\\nplt.tight_layout()\\nplt.savefig(\\"results-chart.png\\", dpi=150)\\nprint(\\"Chart saved\\")"
}'

### What Makes a Good Quote

❌ "We love the product." (vague, could be about anything)
❌ "It's great." (meaningless)

✅ "We went from processing 50 orders a day to 200, without adding a single person to the team."
   — Sarah Chen, VP Operations, Acme Corp

✅ "Before [Product], our team dreaded Monday mornings because of the report backlog.
    Now it's automated and they can focus on actual analysis."
   — Marcus Rodriguez, Head of Analytics, DataCo

### Quote Placement

1 quote in the Challenge section — about the frustration/pain
1-2 quotes in the Results section — about the outcome/transformation
Always attribute: full name, title, company

### Quote Formatting

> "We went from processing 50 orders a day to 200, without adding anyone to the team."
>
> — Sarah Chen, VP Operations, Acme Corp

### Finding Industry Context

# Industry benchmarks
infsh app run tavily/search-assistant --input '{
  "query": "average e-commerce order processing time industry benchmark 2024"
}'

# Competitor landscape
infsh app run exa/search --input '{
  "query": "order management automation solutions market overview"
}'

# Supporting statistics
infsh app run exa/answer --input '{
  "question": "What percentage of e-commerce businesses still use manual order processing?"
}'

### Distribution Formats

FormatWhereNotesWeb page/customers/ or /case-studies/Full version, SEO-optimizedPDFSales team, email attachmentDesigned, downloadable, gated optionalSlide deckSales calls, presentations5-8 slides, visual-heavyOne-pagerTrade shows, quick referenceSnapshot + key metrics + quoteSocial postLinkedIn, TwitterKey stat + quote + link to fullVideoWebsite, YouTubeCustomer interview or animated

### Social Media Snippet

Headline stat + brief context + customer quote + CTA

Example:
"60% faster order processing.

Acme Corp was drowning in manual fulfillment. 4 hours per batch. 12% error rate.

After implementing [Product]: 45 minutes per batch. 1.5% errors.

'We went from 50 orders a day to 200 without adding headcount.' — Sarah Chen, VP Ops

Read the full story → [link]"

### Writing Checklist

Headline leads with the quantified result
 Snapshot box with company, industry, challenge, result at top
 Challenge is quantified, not vague
 2-3 specific customer quotes with attribution
 Before/after metrics with timeframe
 800-1200 words total
 Skimmable (headers, bold, bullet points)
 Customer approved the final version
 Visual: at least one chart or before/after comparison

### Common Mistakes

MistakeProblemFixNo specific numbersReads like marketing fluffQuantify everythingAll about your productReads like a sales pitchStory is about the CUSTOMERGeneric quotesNo credibilityGet specific, attributed quotesMissing the "before"No contrast to show impactAlways show the starting pointToo longLoses reader attention800-1200 words maxNo customer approvalLegal/relationship riskAlways get sign-off

### Related Skills

npx skills add inference-sh/skills@web-search
npx skills add inference-sh/skills@prompt-engineering

Browse all apps: infsh app list
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: okaris
- Version: 0.1.5
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-01T08:44:13.965Z
- Expires at: 2026-05-08T08:44:13.965Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/case-study-writing)
- [Send to Agent page](https://openagent3.xyz/skills/case-study-writing/agent)
- [JSON manifest](https://openagent3.xyz/skills/case-study-writing/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/case-study-writing/agent.md)
- [Download page](https://openagent3.xyz/downloads/case-study-writing)