Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Case Study Writing
B2B case study writing with STAR framework, data visualization, and research. Covers structure, customer quotes, metrics presentation, and distribution forma...
skill openclawclawhub Free
B2B case study writing with STAR framework, data visualization, and research. Covers structure, customer quotes, metrics presentation, and distribution forma...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.5
Provenance
- Publisher
- okaris
- Source page
- View original listing
- Canonical URL
- Open canonical page
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)
โ "How Company X Uses Our Product" โ "Company X Case Study" โ "How Company X Reduced Onboarding Time by 60% with [Product]" โ "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: โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ Company: Acme Corp โ โ Industry: E-commerce โ โ Size: 200 employees โ โ Challenge: Manual order processing โ โ Result: 60% faster fulfillment โ โ Product: [Your Product] โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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 โ always quantified Timeframe โ "within 3 months" / "in the first quarter" Unexpected benefits beyond the original goal Customer quote about the outcome
How to Present Numbers
โ "Improved efficiency" โ "Saved time" โ "Better results" โ "Reduced processing time from 4 hours to 45 minutes (81% decrease)" โ "Increased conversion rate from 2.1% to 5.8% (176% improvement)" โ "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
โ "We love the product." (vague, could be about anything) โ "It's great." (meaningless) โ "We went from processing 50 orders a day to 200, without adding a single person to the team." โ Sarah Chen, VP Operations, Acme Corp โ "Before [Product], our team dreaded Monday mornings because of the report backlog. Now it's automated and they can focus on actual analysis." โ Marcus Rodriguez, Head of Analytics, DataCo
Quote Placement
1 quote in the Challenge section โ about the frustration/pain 1-2 quotes in the Results section โ 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." > > โ 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.' โ Sarah Chen, VP Ops Read the full story โ [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
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md