Product & Planning

paulasilvatech Bundle

GitHub CLI operations use gh commands and GitHub API workflows for repositories, issues, pull requests, Actions, packages, repository discovery, GitHub App setup, and pull request automation. Use this skill when working with gh repo, gh pr, gh issue, gh workflow, gh run, gh api, Actions checks, or package operations.

paulasilvatech Skill

Model, register, discover, validate, and troubleshoot Backstage Software Catalog entities, providers, processors, ownership, relations, locations, and lifecycle. Use when handling catalog-info YAML, entity ingestion, org discovery, duplicate entities, or catalog governance.

paulasilvatech Skill

Create a detailed feature Product Requirements Document from an epic and feature idea, including goal, personas, user stories, functional and non-functional requirements, acceptance criteria, and out-of-scope boundaries. Use when asked to write a feature PRD or docs/ways-of-work feature prd.md.

paulasilvatech Skill

Design Azure API Center as the enterprise inventory and governance plane for APIs, agent tools, OpenAPI definitions, environments, deployments, metadata, linting, and MCP server discovery. Use when building an API or tool catalog, enforcing API standards, registering MCP servers, or making approved tools discoverable to agent builders.

paulasilvatech Skill

Guide comprehensive .NET upgrade discovery, assessment, sequencing, dependency review, framework targeting, code modernization, CI/CD updates, validation, breaking-change analysis, PR strategy, communication, automation, and release documentation. Use when asked for .NET Framework, .NET Core, or .NET Standard project discovery, .NET 8 migration planning, Upgrade Assistant guidance, or upgrade execution prompts.

paulasilvatech Skill

Use when editing Backstage catalog entities, ownership, relations, annotations, or discovery examples.

paulasilvatech Skill

Install, configure, authorize, and troubleshoot Backstage Kubernetes frontend and backend plugins, cluster discovery, entity annotations, authentication, permissions, proxies, custom resources, and service-owner views. Use when working with Kubernetes tabs, clusters, pods, or integration errors.

undermybelt Bundle

Performs firmware image extraction and analysis using binwalk to identify embedded filesystems, compressed archives, bootloaders, kernel images, and cryptographic material. Covers entropy analysis for detecting encrypted or compressed regions, recursive extraction of nested archives, SquashFS/CramFS/JFFS2 filesystem mounting, and string analysis for credential and configuration discovery. Activates for requests involving firmware reverse engineering, IoT device analysis, embedded system security assessment, or router/camera firmware extraction.

undermybelt Bundle

Automates GDPR Data Subject Access Request (DSAR) workflows including identity verification, PII discovery across databases and files using regex and NER, data mapping, response templating per Article 15 requirements, deadline tracking, and audit logging. Covers ICO/EDPB guidance compliance, exemption handling, and scalable batch processing. Use when building or auditing DSAR response capabilities under GDPR/UK GDPR.

prism-shadow Bundle

Produce a structured-JSON gap / retention / remediation / production-readiness analysis for a legal-discovery matter by querying the shared Investigation Review Hub. Use whenever a task points at the Review Hub at http://task-env:9017/ and asks for a single JSON object conforming to a per-task answer_template (critical-findings gap analysis, retention & litigation-hold review, cross-system remediation dashboard, or production-readiness review).

prism-shadow Bundle

Solve Atlas Commerce Operations workplace tasks that require authenticated schema/data-dictionary discovery, SQL analysis, strict JSON answers, and controlled canonical data corrections with audit records. Use when a prompt references an Atlas/GDPEVO workplace service, TASK_ENV_BASE_URL or GDPEVO_ENV_BASE_URL, /api/schema, /api/sql, /api/sql/transaction, answer_template.json, fulfillment, refunds, carrier quality, warehouse productivity, support health, or correction-audit workflows.

prism-shadow Bundle

Produce a structured-JSON e-discovery gap / remediation dashboard for a legal investigation matter (grand jury or SEC/DOJ subpoena) by pulling matter-scoped evidence from the Investigation Review Hub API and mapping it onto a task-supplied answer_template.json. Use when a task asks for a production gap analysis, retention/litigation-hold gap review, cross-system remediation dashboard, or production-readiness review, and provides an answer_template.json plus a hub base URL and X-API-Key. Covers reading the contract, querying the hub, classifying material vs. non-material issues, computing privilege/QC metrics, and assembling one validated JSON object.

prism-shadow Bundle

Produce the required structured-JSON deliverable for an "Investigation Review Hub" legal e-discovery task — first-rolling-production gap analysis, retention/litigation-hold gap review, cross-system remediation dashboard, or production-readiness review — for a grand-jury or SEC subpoena matter. Use when a task gives a matter_id (MTR-*), points to a read-only Investigation Review Hub API (base URL + `X-API-Key`), and asks for one JSON object conforming to a local `input/payloads/answer_template.json`. The skill reads the matter's evidence from the hub, separates material preservation / collection / privilege / QC / responsiveness gaps from routine noise, and maps them onto the task's template enums.

prism-shadow Bundle

Produce cutoff-based operational reports and controlled data corrections from the Atlas Commerce Operations workplace database, returning JSON that conforms exactly to a supplied answer_template.json. Use whenever a task points at an Atlas / "Commerce Operations" workplace service (a <TASK_ENV_BASE_URL> with /api/schema, /api/data-dictionary, /api/sql, /api/sql/transaction, /api/correction-audit) and a request payload plus an answer_template.json under input/payloads/, and asks for a scorecard, reconciliation, productivity / health review, backlog analysis, SLA breach report, or an approved minimal canonical correction. Covers read-only analytics and the single-row audited-correction flow.

prism-shadow Bundle

Produce exact JSON answers for Atlas Commerce Operations reporting and data-correction requests. Use when a task provides an environment_access.md for an Atlas / "workplace" service (GET /api/schema, /api/data-dictionary, /api/correction-audit, POST /api/sql, POST /api/sql/transaction) plus a request payload JSON and an answer_template.json, and asks you to compute a scorecard, reconciliation, quality/health/productivity review, backlog, or an approved canonical correction and write it to answer.json. Covers cohort/ eligibility scoping, cutoff-based state, rate/median/FX metrics, top-N/worst-N ranking, exact ID lists, tiered status classification, and audited mutations.

prism-shadow Skill

Use this skill for ApexCloud Retention Operations-style tasks that provide a remote environment and ask for a precise JSON answer from customer/account, opportunity, retention, billing, support, NPS, churn, or event datasets. It is especially useful when the task involves staged prompts, remote API discovery, exact output schemas, account alias resolution, active/open exclusions, ARR reconciliation, pipeline rollups, renewal windows, or churn-risk style filtering.

prism-shadow Bundle

Produce a structured-JSON legal e-discovery deliverable (production gap analysis, retention & litigation-hold gap review, cross-system remediation dashboard, or production-readiness review) for a single matter, sourced from a networked "Investigation Review Hub" API and conforming exactly to a provided answer_template.json. Use when a task references an Investigation Review Hub / review hub base URL, an X-API-Key, subpoena/request categories, custodian sources, privilege log, QC findings, retention events, or remediation actions, and asks for a JSON gap/remediation/readiness answer.

prism-shadow Bundle

Produce a schema-conforming JSON e-discovery / litigation-hold gap and remediation dashboard for a legal matter by querying a read-only "Investigation Review Hub" API. Use when a task gives you a matter context payload plus an answer_template.json and asks for a structured JSON gap analysis, production-readiness review, retention/hold gap review, or cross-system remediation dashboard sourced from a review hub over the network (grand jury / SEC / DOJ subpoena response work). Triggers: "Investigation Review Hub", "production gap analysis", "remediation dashboard", "retention gap review", "production readiness", answer_template.json with matter_id + findings/risks + category coverage + metrics + prioritized actions.

prism-shadow Bundle

Produce exact JSON answers for Atlas Commerce Operations analytical and data-correction requests. Use whenever a task points at an authenticated "Atlas Commerce Operations" / "Atlas workplace" service (a base URL plus a Bearer token in environment_access.md, exposing /api/schema, /api/data-dictionary, /api/sql, /api/sql/transaction, and /api/correction-audit) and asks you to compute a scorecard, reconciliation, productivity/health review, backlog, or minimal canonical correction against a supplied request payload and answer_template.json, writing the result to answer.json. Covers fulfillment scorecards, refund/settlement reconciliation, carrier-quality corrections, warehouse productivity, and support-health reviews.

pyfagorass Bundle

List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like "list the websites in my subscription", "list my web apps", "show my app services", "list virtual machines", "list my VMs", "show storage accounts", "find container apps", and "what resources do I have". USE FOR: list websites, list web apps, list app services, show websites in subscription, resource inventory, find resources by tag, tag analysis, orphaned resource discovery (not for cost analysis), unattached disks, count resources by type, cross-subscription lookup, and Azure Resource Graph queries. DO NOT USE FOR: deploying/changing resources (use azure-deploy), cost optimization (use azure-cost), or non-Azure clouds.

pyfagorass Bundle

Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.

pyfagorass Skill

Azure API Center SDK for .NET. Centralized API inventory management with governance, versioning, and discovery. Use for creating API services, workspaces, APIs, versions, definitions, environments, deployments, and metadata schemas. Triggers: "API Center", "ApiCenterService", "ApiCenterWorkspace", "ApiCenterApi", "API inventory", "API governance", "API versioning", "API catalog", "API discovery".

onfire7777 Bundle

Automate Eventbrite event management, attendee tracking, organization discovery, and category browsing through natural language commands

onfire7777 Bundle

Automate SurveyMonkey survey creation, response collection, collector management, and survey discovery through natural language commands

onfire7777 Bundle

Conducts comprehensive network penetration tests against authorized target environments by performing host discovery, port scanning, service enumeration, vulnerability identification, and controlled exploitation to assess the security posture of network infrastructure. The tester follows PTES methodology from reconnaissance through post-exploitation and reporting. Activates for requests involving network pentest, infrastructure security assessment, internal network testing, or external perimeter testing.

pyfagorass Skill

Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.

pyfagorass Bundle

Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.

pyfagorass Skill

Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices. Use when user wants to convert a plan into issues, create implementation tickets, or break down work into issues.

prism-shadow Bundle

Produce a schema-conformant JSON gap-analysis / remediation dashboard from the Investigation Review Hub for a legal-discovery matter. Use when a task points at the Investigation Review Hub (base URL like http://task-env:PORT/) and asks for a structured-JSON deliverable (rolling production gap analysis, retention/preservation review, cross-system remediation dashboard, production-readiness review, etc.) conforming to a provided answer_template.json.

prism-shadow Bundle

Produce a single structured-JSON gap / defect / remediation analysis for a litigation or investigation matter, driven entirely by an "Investigation Review Hub" dataset and conforming to a task-provided answer_template.json. Use this whenever a task asks for a production gap analysis, a retention / litigation-hold gap review, a cross-system remediation dashboard, a production-readiness review, or a similar structured e-discovery deliverable whose evidence lives in a review hub exposing tables such as matters, subpoena_categories, production_stats, custodian_sources, review_documents, privilege_entries, qc_findings, retention_events, and remediation_actions.

charlieviettq Skill

Identify, categorize, and prioritize technical debt. Trigger with "tech debt", "technical debt audit", "what should we refactor", "code health", or when the user asks about code quality, refactoring priorities, or maintenance backlog.

caishengold Skill

Prd Writer

caishengold Skill

当需要撰写产品路线图相关专业文案、行业指南、科普文章时使用。触发场景：产品路线图/规划。当用户提到"产品路线图"、"产品路线图"、"规划"、"product"、"roadmap"时应触发此技能。

paulasilvatech Skill

Use the WorkIQ `CLI/MCP` server to query Microsoft 365 work data such as emails, meetings, documents, Teams messages, people, and projects for live organizational context. Use when the user asks for agenda summaries, follow-ups, document lookup, stakeholder or project context, blockers, recommendations, or Microsoft 365 work intelligence.

paulasilvatech Skill

Design Azure API Center as the enterprise inventory and governance plane for APIs, agent tools, OpenAPI definitions, environments, deployments, metadata, linting, and MCP server discovery. Use when building an API or tool catalog, enforcing API standards, registering MCP servers, or making approved tools discoverable to agent builders.

paulasilvatech Skill

Create deterministic implementation plan files for features, refactors, package upgrades, design, architecture, infrastructure, data, or process work. Use when the user asks for an implementation plan, phased execution plan, AI-executable plan, /plan artifact, or machine-readable roadmap for autonomous agents or humans.