Explore skills

Test-only skill for SAP CAP Node.js projects. Its sole purpose is to scaffold and run automated tests using `cds test` (Node.js test runner wrapper) and, when (and only when) explicitly requested by the user, produce coverage with `c8`. The skill writes test files under `test/` (or the project's existing test folder), executes them, and emits two possible report files at the project root: - `CAP-T

Read-only static analysis of SAP CAP Node.js code (a Pull Request, a branch comparison, or a specific file list). Classifies findings as Critical / High / Medium / Low, lists each finding with file:line, function/class, evidence and a *suggested* fix (always flagged as needing human validation), and writes the result to `CAP-CODE-REVIEW.md` at the project root. Use when the user asks to: - "analis

Analyzes subscription funnels, onboarding, paywalls, pricing, package strategy, trials, churn, and renewal signals to identify improvements and help implement fixes for any subscription product.

Upgrade SAP CAP and SAP-related libraries (@sap/cds*, @cap-js/*, @sap-cloud-sdk/*, @sap/eslint-plugin-cds) in the current working directory. Strategy: latest stable including majors. Runs `cds build` + `npm test` (when present), cross-checks failures against locally mirrored official changelogs (CAP + Cloud SDK JS) and reports ONLY bugs caused by the version bump. Use when the user asks to "upgrad

SAP Cloud Application Programming Model (CAP) development skill for the **Node.js runtime only**. Domain-first: prefers CDS schema, annotations, projections, and CAP's generic providers over hand-written handler code ("less code → less mistakes"). Use when the user asks to: build CAP applications, define CDS models, design entities / associations / views / projections, add annotations (validation,

Generate images with HiAPI's gpt-image-2 model via the HiAPI OpenAI-compatible Chat Completions endpoint. Use when a user asks to create an image with GPT Image 2, HiAPI GPT Image 2, or this specific skill.

Trigger on "acceptance criteria", "consult acceptance", "success criteria", "signoff matrix", "deliverables per phase", "primary path fallback", "definition of done". Per-phase deliverables, measurable criteria (tech + business/ops), owner, primary path + fallback. NOT commercial terms (use consult-commercial), NOT gate questions (use consult-gates).

Trigger on "what did I decide about X", "why did I pick X", "did I choose X over Y", "what was my call on X", "ADR for X", "is there a decision on X", "have I picked between X and Y". Use when the user wants to recall a settled past decision, not make a new one. NOT for fresh tradeoff analysis (route to Claude or timeln-find).

Turn an article, video, repository, product, job post, service, or offer into a high-attention value unit: title/headline, thumbnail or visual concept, curiosity gap, proof, and sequential hook. Use when the user wants clickable titles, article thumbnails, project thumbnails, repo/social preview images, hooks, offer framing, or a generalizable value-communication critique.

Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: user wants to optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance

Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configurin

Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, troubleshooting crashes, or performing log analysis, error investigation, or root cause analysis.