Product & Planning

bojak83318 Skill

Re-run OWASP-based security verification for Proxima-Secure-Remediated versus Zen4-bit/Proxima after repo revisions. Use when Codex needs to compare the current remediated repo to upstream, reconstruct or refresh Proxima findings, update a PRD or verification report in Research/, or produce diff-backed evidence with minimal context so the work can be done reliably on gpt-5.4-mini.

minhtran3124 Bundle

Research-first feature discovery check. Before any implementation, answer five critical questions: What is this repo? What exists locally? What does the ecosystem support? What do official docs recommend? What is the lightest credible path? Use this skill when the user asks to add a feature, build something new, or wants to know the best approach — trigger with /preflight or when someone says "how should I build X", "what's the best way to implement Y", or "I need to add Z to this project".

heldinhow Skill

Configure Aspire AppHost to emit explicit app config via environment variables; keep app code free of Aspire clients and service discovery.

heldinhow Skill

Write integration tests using .NET Aspire's testing facilities with xUnit. Covers test fixtures, distributed application setup, endpoint discovery, and patterns for testing ASP.NET Core apps with real dependencies.

viperjuice Skill

Gemini-optimized phase planner. Use when a roadmap phase from a versioned phase roadmap spec needs an interface-freeze and swim-lane implementation plan for Gemini. Produces a lane plan with owned files, dependencies, verification, and acceptance criteria. In Plan Mode, returns a proposed plan only.

viperjuice Bundle

One-pass environment detection for development tools. Use at the start of a coding session in a new project, or when a command fails with 'command not found'. Detects Python (system/venv/poetry/uv), Node.js, TypeScript, Dart/Flutter, Rust/Cargo, Git, Docker, and Java. Caches results to avoid repeated tool-location discovery chains.

viperjuice Skill

Gemini-optimized roadmap planner. Use when the user wants to turn a conversation, architecture discussion, or markdown spec into a multi-phase roadmap for later Gemini planning and execution. Creates or extends versioned phase roadmap specs in execution mode, but in Plan Mode returns a proposed plan only. Do not use for single bounded changes; use gemini-plan-detailed instead.

txampa Bundle

Use this skill when the user needs to build a B2B lead generation pipeline targeting local businesses — including sourcing leads from Google Maps, business websites, or LinkedIn; scraping legal pages (Impressum, Aviso Legal, Mentions Légales) to discover contact emails; qualifying and scoring leads with intent signals; writing cold email sequences in multiple languages; personalizing outreach using observable business audits; storing leads in a persistent SQLite/Supabase database; tracking replies and response patterns; or ensuring legal compliance (GDPR, CAN-SPAM, CASL) for commercial email. Also trigger for: lead database, lead scoring, intent signals, CSV leads, cold outreach, B2B prospecting, local business targeting, email discovery, email scraping, multilingual outreach, outreach automation, reply tracking, contact form outreach, n8n outreach, Instantly, Apollo, Hunter.

cabezas-felipe Skill

Principal-level PRD co-author for stakeholder and exploration tracks, lite variant, Draft opener, Update track re-check, triage, Solution vs Execution precedence, rollback Path 2, execution spec, checkpoints C0–C5, and session-end coherence. Use when drafting, updating, auditing, or reviewing PRDs, product requirements, functional specs, or agent-ready execution specs, or when the conversation references PM PRD.

cabezas-felipe Bundle

Principal user research: interviews, VOC/tickets, surveys, usability, user-supplied metrics — cited synthesis, hypothesis verdict, nulls, roadmap. Study design (guides, screeners, plans). No fabrication.

cabezas-felipe Bundle

Principal-to-CPO strategy and sparring. Explores options, stress-tests choices, and produces strategy output in lean (fast, 80/20) or rigorous (stakeholders, high stakes, traceable) mode. Use for strategy debate, positioning, advantage, roadmap alignment, assumptions, sequencing, exec or partner messaging, or direction in any industry.

vines90 Bundle

Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, Google Maps, Google Search, Google Trends, Booking.com, and TripAdvisor. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, or any data extraction task.

banibratachatterjee Bundle

Eliciting, documenting, and structuring a sales process before it is built in Salesforce: stage sequencing, entry/exit criteria per stage, win/loss analysis requirements, and stage transition rules. Use when a business needs to analyse or formalise its sales methodology before any Salesforce configuration begins. Trigger keywords: sales process design, stage discovery, entry criteria, exit criteria, stage gate, win/loss categorisation, sales methodology, pipeline stages, opportunity stage mapping. NOT for configuring OpportunityStage picklist values, Sales Processes, or record types in Setup (use opportunity-management skill). NOT for Path configuration. NOT for Collaborative Forecasts or quota alignment.

banibratachatterjee Bundle

Use this skill when designing data stories and narrative-driven analytics experiences in Salesforce: structuring CRM Analytics dashboards for executive communication, using text widgets and conditional highlights for contextual annotation, building sequential narrative in Tableau Story sheets, or using Einstein Discovery narrative REST API endpoints for machine-generated insight text. Trigger keywords: data storytelling dashboard, executive analytics narrative, CRM Analytics text widget annotation, Tableau story sheet, smart data discovery narrative API. NOT for technical chart-type selection, SAQL query construction, recipe node configuration, or CRM Analytics field binding mechanics.

banibratachatterjee Bundle

Use this skill when an admin needs to create an Einstein Discovery story in CRM Analytics Studio, configure prediction definitions, deploy writeback fields, set up what-if analysis, or manage model refresh and activation. Trigger keywords: Einstein Discovery story, prediction definition, writeback field, CRM Analytics Studio, model refresh, what-if analysis, bulk scoring, prediction field, 1OR prefix. NOT for Prediction Builder (Einstein Prediction Builder is a separate product requiring no CRM Analytics license). NOT for the developer API path (programmatic scoring via the Connect REST API — see einstein-discovery-development skill).

banibratachatterjee Bundle

Use this skill when configuring FSC financial planning objects, designing periodic review cycles, modeling risk assessment workflows, or tracking goal progress in Financial Services Cloud. Trigger keywords: FinancialGoal, FinancialPlan, goal tracking, risk tolerance, review cycle, financial planning workflow, Discovery Framework, Revenue Insights. NOT for financial advice, investment recommendations, or high-level process mapping (see wealth-management-requirements for that).

banibratachatterjee Bundle

Use this skill when driving adoption of CRM Analytics (Einstein Analytics) across an org — including setting up the Analytics Adoption App to measure who uses which dashboards, embedding analytics into Lightning pages for in-context discovery, pinning dashboards to the Analytics home page, building self-service personas, and defining analytics-specific success metrics. Triggers: analytics adoption, dashboard usage tracking, embedded analytics strategy, self-service analytics enablement, CRM Analytics rollout. NOT for general Salesforce change management (use change-management-and-training), NOT for In-App Guidance prompt mechanics (use in-app-guidance-and-walkthroughs), NOT for dashboard technical design or JSON (use analytics-dashboard-design or analytics-dashboard-json).

banibratachatterjee Bundle

Use this skill when deploying a trained Einstein Discovery model to production records declaratively — activating a prediction definition, mapping output fields to page layouts, adding the Einstein Discovery Action to a Flow, running bulk predict jobs, and monitoring model health via Model Manager UI. Trigger keywords: prediction definition activation, bulk predict job, Einstein Discovery Flow action, Model Manager, prediction field mapping, model refresh activation, scoring job, Einstein Discovery recommendations on record. NOT for Einstein Discovery setup or story authoring. NOT for developer API integration (see agentforce/einstein-discovery-development).

banibratachatterjee Bundle

Use this skill when preparing data for Salesforce Einstein ML features: Einstein Discovery story creation, Einstein Prediction Builder model setup, feature field selection, outcome definition, data quality thresholds, and leakage detection. Trigger keywords: Einstein Discovery data requirements, training data for Einstein, ML feature engineering, Einstein Prediction Builder data prep, AI model training data. NOT for generic CRM data quality management, Data Cloud ingestion pipeline setup, or standard CRM Analytics dashboard analytics.

banibratachatterjee Bundle

Use this skill when eliciting, documenting, and structuring requirements for a Salesforce implementation or enhancement: writing Salesforce-specific user stories with acceptance criteria, mapping As-Is and To-Be business processes, conducting stakeholder discovery interviews, and performing gap analysis against standard Salesforce capabilities. Trigger keywords: requirements gathering, user story, As-Is To-Be, gap analysis, stakeholder interview, process mapping, business requirements, fit gap. NOT for technical design decisions (use solution-design-patterns). NOT for automation implementation (use flow/* or apex/* skills). NOT for data model design (use data-model-design-patterns or object-creation-and-design).

banibratachatterjee Bundle

Canonical go-live checklist for Agentforce deployments with rehearsed rollback and stakeholder sign-off records. NOT for general Salesforce release management (see release-management).

banibratachatterjee Bundle

Use when learning, designing, or explaining Salesforce Reports and Dashboards from first principles — report types, custom report types, groupings, bucket fields, summary formulas, charts, dashboard components, dynamic dashboards, report subscriptions, and folder permissions. Triggers: 'how do I build a report', 'what report type should I use', 'set up a dashboard', 'joined report limits', 'bucket field vs formula', 'dynamic dashboard running user'. NOT for CRM Analytics (use crm-analytics-* skills). NOT for Einstein Discovery predictive analytics. NOT for troubleshooting missing report data caused by sharing model issues (use admin/reports-and-dashboards for that).

banibratachatterjee Bundle

Use this skill when integrating Einstein Discovery predictions into Salesforce apps, automating bulk scoring jobs, deploying stories as prediction definitions, managing models via API, or querying prediction history. Trigger keywords: Einstein Discovery, smartdatadiscovery, predict endpoint, bulk scoring job, model refresh job, prediction definition, story deployment, regression prediction, multiclass prediction, CRM Analytics ML. NOT for CRM Analytics dashboard design, TCRM dataset management, Einstein Prediction Builder binary classification (which requires no CRM Analytics license), or Einstein Next Best Action recommendation strategies.

dsmmartin Skill

Fast status check for backlog tasks using `scripts/backlog_board.py` and `backlog/board.md`. Use when you need a compact view of task id, epic, status, and short description across sessions.

dsmmartin Bundle

Create or update `backlog/<TASK-ID>.md` task files for this repo using the established traceability format. Use when asked to add backlog task documents, standardize task scope and status, or derive task files from `PRODUCT_BACKLOG.md`.

lukasreese Bundle

[power-bi] Power BI Requirements Gathering — a structured, conversation-driven skill that captures everything needed before building a Power BI solution. Use this skill EVERY TIME someone is starting a new Power BI project, needs to gather requirements from a client or stakeholder, wants to avoid common project failure points, or is scoping a Power BI engagement. Also trigger when the user mentions 'requirements', 'kickoff', 'scoping', 'what questions should I ask', 'project planning', 'client brief', 'starting a Power BI project', 'discovery session', or 'pre-sales assessment'. Guides Claude through 10 phases: business context, data sources, data modelling, performance, admin infrastructure, visuals, security, integration, governance, and change management. Generates a portable markdown file so sessions can be resumed and updated over time. Built by Lukas Reese.

aaronbali Skill

Discover and document a Fullstory org's structure — funnels, pages, events, named elements, and StoryAI opportunities — into a persistent context file at ~/claude/accounts/{slug}-fullstory-context.md. This context file is then loaded by analysis skills (conversion investigation, CX health brief, POC insight finder) so they can run without rediscovering the org each time. Use this skill whenever someone says "discover the org", "learn this Fullstory org", "run org discovery", "set up Fullstory context", or "analyse this Fullstory org". Also trigger when someone asks what a Fullstory org contains, wants to understand its structure, or is about to run a POC and needs to orient themselves in the data.

willwebster5 Skill

Threat-model-first detection planning for data sources without OOTB coverage. Analyzes what threats apply to a source type, validates against live log data, and produces a prioritized detection backlog with handoff docs for authoring skills. Use when onboarding a new data source, planning detection coverage for a source without OOTB templates, or assessing what threats a source can detect.

leonascimeto Bundle

Executa o fluxo completo de desenvolvimento orientado a documentação: cria PRD, Tech Spec, lista de tarefas, implementa tasks, revisa e executa QA. Use quando for iniciar uma nova funcionalidade, documentar requisitos, gerar especificação técnica, detalhar ou implementar tarefas, revisar implementações ou executar testes de qualidade. Não use para debugging genérico, refatoração sem contexto de task, ou tarefas fora do ciclo de desenvolvimento de funcionalidades.

mcpize Bundle

MCPize Idea Finder — find a profitable MCP server idea, validate it, and get a ready-to-build brief. Part of the MCPize suite (mcpize.com). Guides users through discovery interview (up to 10 questions about skills, domain, goals), generates tailored MCP server ideas, researches competitors across MCP marketplaces, analyzes monetization potential with pricing models, and outputs a structured brief/PRD. Use this skill whenever someone wants to brainstorm, find, discover, or validate an MCP server idea, asks what MCP server to build, wants to explore MCP business opportunities, or says they want to build an MCP but don't know what kind. Also trigger on: mcpize idea, mcp idea, what mcp to build, mcp server business, find mcp idea.

idealzxz Skill

从语雀(Yuque)文档读取PRD需求并评估前端开发工时。当用户提供语雀链接要求评估工时、估时、排期，或提到PRD评审、工时评估时使用。

mrpeter2025 Bundle

Social discovery network that helps users find and connect with people who share their interests. Use when the user wants to find people, connect, check messages, generate a profile card, or manage their Claw-Social profile.

kirillklem Bundle

Analyze a machine learning training run using logs, metrics, artifacts, config, and system telemetry. Trigger when the user asks to analyze a training run, ClearML task, degradation, instability, divergence, weak results, bottlenecks, surprising metrics, or compare runs, including phrases like "разбери логи обучения", "посмотри clearml run", "что случилось с обучением", "почему деградировало", "где instability", "почему обучение медленное", and "проинтерпретируй метрики". Fetch relevant run data, reconstruct run context and timeline, check metric/log integrity, diagnose learning quality, instability, efficiency, and bottlenecks, then return an evidence-based triage report with surprises, missing instrumentation, and ranked next actions. Do not use for code review, experiment-roadmap planning, paper reading, or direct model implementation.

kirillklem Bundle

Build or refresh a thematic atlas for the user's Obsidian vault or one bounded subtree, identifying clusters, hubs, weakly linked areas, and navigation entry points. Use for vault mapping, not for note rewriting, generic summaries, or cross-machine discovery.

kirillklem Bundle

Produce a bounded weekly rollup for the Obsidian vault by combining Backlog, the current weekly note, and a small recent daily window into a derived state summary under _codex. Use for short-horizon state synthesis, not for full vault mapping or long-range planning design.

kirillklem Bundle

Analyze 2-4 plausible architecture options for a non-trivial software change instead of jumping to a single design. Trigger when the user asks for an architecture plan, design options, trade-off analysis, solution variants, refactor strategy options, migration options, or phrases like "давай подумаем над архитектурой", "разложи варианты", "сравни варианты решения", "какой вариант архитектуры лучше", or similar. Start from the current state and real constraints, enumerate only realistic options, compare them on trade-offs, complexity, cost, risk, migration pain, testing implications, and scaling implications, then recommend one option and explicitly reject the others with concrete reasons. Keep the analysis implementation-oriented and minimal: do not invent unnecessary layers, subsystems, abstractions, or future-proofing unless they are justified by current constraints. Do not use for generic brainstorming, roadmap planning, or writing a full implementation plan after the architecture has already been chosen.