Skills from clawhub.ai/alirezarezvani

Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use for writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing backlog.

Strategic product leadership toolkit for Head of Product including OKR cascade generation, market analysis, vision setting, and team scaling. Use for strategic planning, goal alignment, competitive analysis, and organizational design.

This skill is a product-management toolkit with runnable Python utilities (`scripts/rice_prioritizer.py`, `scripts/customer_interview_analyzer.py`) for prioritization, interview analysis, and PRD templates. It includes explicit `python` command examples that instruct local script execution; no secret access or external network calls are instructed.

This skill automates Microsoft 365 tenant administration and generates PowerShell scripts for provisioning, Conditional Access, license management, and audits. It instructs executing local `python` and PowerShell commands and calling `Connect-MgGraph`/`Connect-ExchangeOnline`, requests broad Graph scopes (e.g., `Directory.ReadWrite.All`) and handles credentials like `$clientSecret`.

Provides ISO 13485 internal audit guidance and a Python-based audit schedule optimizer. Includes explicit shell commands to run `python scripts/audit_schedule_optimizer.py` (e.g., `--processes processes.json`) and the script reads a user-supplied file, so execution of local code/files is instructed.

Provides ISO 13485 QMS guidance and a local audit checklist generator, including templates and a CLI script. The skill contains explicit instructions to run `python qms_audit_checklist.py` (local execution); no network endpoints, secret locations, or environment variables are requested.

Provides regulatory strategy guidance and a command-line `scripts/regulatory_tracker.py` tool to track submissions. The skill instructs running `python regulatory_tracker.py` for local execution; no network endpoints or secret access are present.

The skill provides CLI tools and documentation for API scaffolding, database migrations, and load testing. It contains shell commands like `python scripts/api_scaffolder.py`, makes network calls to hosts such as `https://api.example.com`, and references secrets via `process.env` (e.g., `JWT_SECRET`).

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

This skill provides computer vision engineering guidance and scripts for dataset preparation, training, optimization, and deployment. It includes explicit shell/CLI commands such as `python scripts/vision_model_trainer.py`, `trtexec --onnx=model.onnx --saveEngine=model.engine --fp16`, and `uvicorn.run(app, host="0.0.0.0", port=8000)` that instruct execution.

This skill generates AWS serverless architectures and IaC (CloudFormation/CDK/Terraform) and includes scripts like `scripts/serverless_stack.py` and `scripts/architecture_designer.py`. It instructs running shell commands (`aws cloudformation create-stack`, `cdk deploy`, `terraform apply`), calls AWS endpoints (`https://${ApiGateway}.execute-api.${AWS::Region}.amazonaws.com/${Environment}`), and accesses secrets (`get_secret('prod/database/credentials')`, env `TABLE_NAME`).

Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry.

The skill provides ISO 27001 ISMS guidance and local tooling for risk assessment, compliance checks, and incident response. It contains explicit instructions to execute local scripts such as `python scripts/risk_assessment.py --scope "patient-data-system" --output risk_register.json`.

Provides FDA regulatory consulting and includes assessment scripts for QSR, HIPAA risk, and submission tracking. Notably, it instructs running commands like `python scripts/hipaa_risk_assessment.py /path/to/project` and the scripts scan project files for hardcoded credentials (e.g., `api.*key.*=.*['"]`).

Provides guidance and a Python validator for QMS document control, numbering, change control, and 21 CFR Part 11 compliance. Includes example local execution commands such as `python scripts/document_validator.py --doc document.json`, which instruct running the included script.

ISO 14971 risk-management skill providing templates, guidance, and a local utility for risk and FMEA calculations. The package includes and instructs running the local script `scripts/risk_matrix_calculator.py` (e.g., `python risk_matrix_calculator.py --probability 3 --severity 4`), i.e., local script execution only.

This skill provides architecture design tools and CLI scripts to analyze projects, generate diagrams, and produce ADRs. It contains explicit shell commands such as `python scripts/architecture_diagram_generator.py ./my-project --format mermaid` to run the bundled scripts; no network calls or secret/env access were found.

Provides a senior data scientist skill for experiment design, feature engineering, and model evaluation with included scripts and docs. The skill includes explicit shell commands such as `python scripts/experiment_designer.py --input data/ --output results/` and `kubectl apply -f k8s/` that instruct running local CLI tools.

Produces production-grade data engineering scaffolds for ETL/ELT, Airflow, dbt, Spark, Kafka, monitoring, and CI/CD. The skill includes explicit shell commands (`python scripts/...`, `kafka-topics.sh`, `airflow`), network endpoints (`http://marquez:5000`, `s3://dbt-artifacts/...`, `https://api.pagerduty.com`), and references to secrets (`SNOWFLAKE_PASSWORD`, `SLACK_WEBHOOK`).

This skill provides CLI tools and documentation for prompt engineering, RAG evaluation, and agent orchestration. It includes explicit runnable commands (e.g., `python scripts/prompt_optimizer.py`) that instruct executing the provided Python scripts; no network endpoints or secret-reading instructions are present.

This skill provides senior ML engineering patterns for MLOps, RAG systems, model deployment, monitoring, and LLM integration. It includes runnable `python` script commands, calls to providers like `OpenAI` and `pinecone`, and constructors accepting `api_key` parameters (purpose-aligned).

This skill analyzes social media campaign data and computes engagement, ROI, and benchmarks using the included Python modules and sample assets. It contains explicit local execution commands such as `python scripts/calculate_metrics.py assets/sample_input.json` and `python scripts/analyze_performance.py assets/sample_input.json`.

Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Includes strategy analyzer, financial scenario modeling, board governance frameworks, and investor relations playbooks. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making executive decisions, or when user mentions CEO, strategic planning, board meetings, investor updates, organizational leadership, or executive strategy.

Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyzer, SEO optimizer, content frameworks, and social media templates. Use when writing blog posts, creating social media content, analyzing brand voice, optimizing SEO, planning content calendars, or when user mentions content creation, brand voice, SEO optimization, social media marketing, or content strategy.

This skill provides ASO tooling and Python modules for keyword research, metadata optimization, competitor analysis, A/B testing, localization, and launch planning. It includes explicit install/run commands (e.g., `cp -r app-store-optimization ~/.claude/skills/`, `python keyword_analyzer.py --keywords "todo,task,planner"`) that instruct copying the skill into `~/.claude/skills/` and running scripts.

This skill provides CAPA (Corrective and Preventive Action) management guidance and an included Python tool `scripts/capa_tracker.py` for reporting and interactive entry. It contains explicit shell commands such as `python scripts/capa_tracker.py --capas capas.json` that instruct executing the included script.

This skill provides CTO guidance, templates, and two local Python tools for debt analysis and team scaling. It instructs running `python scripts/tech_debt_analyzer.py` and `python scripts/team_scaling_calculator.py` (local shell execution); no explicit secret access or external network endpoints are present.

Multi-channel demand generation, paid media optimization, SEO strategy, and partnership programs for Series A+ startups

This skill provides ISMS audit guidance and reusable references and includes a runnable scheduler script to generate audit plans. It instructs execution of the scheduler via `python scripts/isms_audit_scheduler.py` which reads `controls.csv` and can write `audit_plan.json`.

Provides GDPR/DSGVO compliance tools that scan codebases, generate DPIAs, and manage data subject rights. Includes command-line examples to run `python scripts/gdpr_compliance_checker.py` and `python scripts/data_subject_rights_tracker.py`; the scanner reads local files (including `.env`) but contains no instructions to transmit data externally.

This skill provides EU MDR 2017/745 compliance guidance and ships a local analyzer script `scripts/mdr_gap_analyzer.py`. It includes explicit run commands such as `python scripts/mdr_gap_analyzer.py --device "Device Name" --class IIa`; no network endpoints or secret/env var access are instructed.

Senior Quality Manager Responsible Person (QMR) for HealthTech and MedTech companies. Provides quality system governance, management review leadership, regulatory compliance oversight, and quality performance monitoring per ISO 13485 Clause 5.5.2.

This skill scaffolds React/Next.js projects, generates components, and provides bundle-analysis and optimization tools. It instructs running local scripts like `python scripts/frontend_scaffolder.py`, reads `NEXT_PUBLIC_API_URL`/`API_SECRET` env vars, and includes external calls such as `https://api.example.com/data`.

This skill provides SecOps tooling for scanning, vulnerability assessment, and compliance checks, including `scripts/security_scanner.py`, `scripts/vulnerability_assessor.py`, and `scripts/compliance_checker.py`. It includes explicit shell commands to run those scripts and CI snippets that contact external services and reference secrets such as `SNYK_TOKEN` and `DATABASE_URL`.

This skill scaffolds Jest, React Testing Library, and Playwright tests for React/Next.js projects. It instructs running shell commands like `python scripts/test_suite_generator.py` and `npx playwright test`, uses env vars such as `process.env.TEST_PASSWORD` and `process.env.BASE_URL`, and references network endpoints like `http://localhost:3000` and `https://api.example.com`.

This skill scaffolds fullstack projects and performs code-quality analysis. It includes explicit shell commands (e.g., `python scripts/project_scaffolder.py`, `npm install`, `docker-compose up -d db`) and uses environment variables like `DATABASE_URL` and `SECRET_KEY`, which require secret handling.

Provides TDD guidance and tools for generating tests, analyzing coverage, and guiding red-green-refactor workflows. Includes explicit instructions to run scripts (e.g., `python scripts/test_generator.py`) and network/API usage (`git clone https://github.com/your-org/tdd-guide-skill.git`, `client = anthropic.Anthropic(api_key="your-api-key")`).

Provides security engineering tooling for threat modeling, vulnerability analysis, and secret scanning, including `scripts/threat_modeler.py` and `scripts/secret_scanner.py`. Contains explicit instructions to run `python threat_modeler.py` and `python secret_scanner.py`, which scan local files (including `'.env'`) and include code that calls external services via `boto3.client('kms'...)` and `hvac.Client(url=...)`.

This skill evaluates and compares technology stacks and generates TCO, security, ecosystem, migration analyses and reports. It includes example shell commands (e.g., `python scripts/stack_comparator.py`) that instruct running the included scripts; no secret-reading or network exfiltration is present.

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.

This skill generates design tokens, component systems, responsive rules, and developer-handoff artifacts for UI design systems. It instructs executing the bundled generator via commands like `python scripts/design_token_generator.py "#0066CC" modern json`, and does not request network endpoints or secret/env var access.