case-study-writer
Write public-safe case studies from private projects, automations, agent workflows, internal tools, demos, or client-facing systems. Use when the user asks to turn project work into a case study, create client proof, write a sanitized GitHub case study, summarize an internal system publicly, document an automation without sharing source code, or explain a workflow while removing credentials, raw prompts, logs, databases, client data, local paths, and private implementation details.
How do I install this agent skill?
npx skills add https://github.com/jqaisystems/jqai-ai-skills --skill case-study-writerIs this agent skill safe to install?
- Gen Agent Trust Hubpass
A documentation utility designed to create sanitized, public-safe case studies from private project materials. It features explicit instructions to identify and remove sensitive data such as credentials, API keys, and source code, and includes a safety evaluation step for the agent.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
Case Study Writer
Overview
Use this skill to turn private project work into public-safe proof: concise case studies that explain the problem, workflow, outcome, and adaptation value without exposing source code, credentials, raw prompts, logs, databases, client data, or private implementation details.
Workflow
- Clarify the public artifact target: GitHub case study, website system page, portfolio note, demo companion, or README section.
- Read
references/case-study-template.mdand use its section order unless the destination already has a stronger house style. - Read
references/safety-boundary-examples.mdbefore writing the opening boundary note and final Safety Boundary section. - Extract only public-safe facts:
- Problem the system solves.
- What the system does at workflow level.
- Human review and approval points.
- General stack categories when useful.
- Outcome stated qualitatively or with approved aggregate numbers.
- What a similar client could adapt.
- Rewrite private details into generic, reusable language. Do not copy raw notes, prompts, logs, exports, database rows, or source code.
- Produce the case study in Markdown and include a short safety verdict:
BLOCK,REVIEW, orREADY.
Case Study Shape
Use these sections by default:
- Title
- Boundary note
- Public page or demo links, if already approved and live
- Problem
- What The System Does
- Workflow
- Outcome
- What Can Be Adapted For Clients
- Safety Boundary
Keep the case study short enough to scan quickly. Prefer six to eight workflow steps and three to five client-adaptation bullets.
Safety Rules
- Never include source code, private prompts, API keys, credentials, databases, logs, exports, client messages, account identifiers, local paths, or screenshots with private UI.
- Do not name clients, prospects, internal codenames, domains, or people unless the user confirms they are approved for public use.
- Use broad stack categories such as Python, SQLite, browser automation, queue dashboard, or LLM API instead of exact private architecture when details are not needed.
- Mention human approval explicitly when the system drafts, scores, publishes, sends, spends, or changes a system of record.
- If the user provides risky source material, return
BLOCKwith removal instructions before writing the publishable draft.
Output Format
Return:
- Safety verdict:
BLOCK,REVIEW, orREADY. - Short note on what was excluded or generalized.
- The Markdown case study.
- Remaining checks before publication.
If the user asks you to edit files, write the draft into the requested location or a sanitized staging folder, then recommend running a public-safety scan before commit.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/jqaisystems/jqai-ai-skills/case-study-writer">View case-study-writer on skillZs</a>