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Found 2,826 Skills
Schreibregeln für natürliche, sachliche deutsche Texte, die typische KI-Verräter vermeiden. Immer anwenden, wenn auf Deutsch geschrieben wird – ob Chat-Antwort, Bericht, Artikel, E-Mail, Zusammenfassung, Dokument oder Social-Media-Post. Auch dann nutzen, wenn nicht ausdrücklich nach Stil oder Schreibregeln gefragt wird, und immer dann, wenn jemand einen Text vermenschlichen, entkünsteln oder weniger nach KI klingen lassen will. Ziel ist, dass kein deutscher Text die Muster aufweist, an denen man KI-generierte Inhalte erkennt (aufgeblähte Bedeutung, Werbesprache, Floskeln, Gedankenstrich-Häufung, Überstrukturierung, Fazit- und Herausforderungen-Abschnitte, erfundene Belege, technische Artefakte, Dialogreste). Grundlage sind die Wikipedia-Seiten Anzeichen für KI-generierte Inhalte (deutsch) und Signs of AI writing (englisch).
Own text-changing deliverables for CCF papers: draft, rewrite, revise, polish, or compress manuscript and presentation prose while preserving supplied scope and evidence. Use for abstract/introduction/related work/method/experiment writing, paragraph edits, reviewer-motivated rewrites, rewrite based on review with no new review, slides/poster/talk/Q&A, 润色论文, 改写, 写作, 压缩论文. Do not use for assessment-only requests such as full review, scientific review, scoring, issue diagnosis, evidence audit, submission checks, or rebuttal, especially when the user says no rewrite.
Alibaba Cloud SLS (Simple Log Service) index configuration manager skill. Use this skill to help users inspect, create, update, or delete a Logstore index, generate an index configuration from user-provided structured log samples, and optimize an existing index configuration for given query/SQL workloads, write throughput, and storage cost — all through the aliyun CLI. Triggers: "SLS 索引", "索引配置", "create index", "update index", "delete index", "generate index", "optimize index", "全文索引", "字段索引", "log index config", "aliyun sls index".
Seal or reseal Kubernetes Secrets into SealedSecrets using kubeseal for secure GitOps storage. Use whenever the user says seal, reseal, or re-seal a secret or SealedSecret, and when they need to create, update, rotate, or fix SealedSecrets, seal credentials for GitOps repos, or migrate secrets between services. NEVER leak plaintext credentials or seal keys in output, logs, or files.
Focused Signals scout for finding observability gaps in PostHog itself — significant event volumes the team isn't tracking, custom events with no insight or dashboard coverage, insights pointing at events that have stopped firing, dashboards missing related context, critical events with no alerts. Watches the event-stream-vs-saved- inventory delta as the team's product evolves and emits findings recommending new insights, dashboard additions, or alerts when gaps clear the confidence bar. Self-contained peer in the signals-scout-* fleet — no dependencies on other skills.
Use when designing/reviewing Docling Graph knowledge-graph workflows: templates, contracts, CLI/API configs, inspect reports, exports, traces. NOT for generic Docling parsing, vector-only RAG, graph DB admin, or ontology-only work.
Report skill lifecycle stage from frontmatter, eval coverage, and validators. Use when promoting, deprecating, or auditing repo skills. NOT for live installs.
Analyze disk images and file systems for forensic investigation. Use when investigating data theft, insider threats, malware persistence, deleted file recovery, or any incident requiring analysis of storage media. Supports NTFS, FAT, EXT, HFS+, and APFS file systems.
Financial Data Analysis Skill (based on `bl mcp` + Alibaba Cloud Bailian MCP Market `market-cmapi00073529`), covering financial instruments such as China A-shares, funds, and bonds. It supports stock screening, fund screening, fund manager screening, financial data query (net profit / revenue / ROE, etc.), macro and industry time-series data (GDP / CPI / production-sales-price), brokerage research report retrieval, and A-share listed company announcement retrieval. Be sure to activate when users ask about the following keywords: stock selection / stock screening, fund screening, fund manager screening, financial data / net profit / revenue / valuation, macroeconomy / GDP / CPI, industry production-sales-price, brokerage research report / industry research report, listed company announcement. Not applicable to: general programming issues, non-financial data, non-Chinese market instruments.
Use this skill when users need to create Custom Lightning Types (CLTs) for Einstein Agent actions or structured input/output schemas. Trigger when users mention CLT, Custom Lightning Types, Custom Lightning Types (CLTs) with widget/mosaic/fragment rendition/renderer, JSON schemas for agents, type definitions, lightning__objectType, or editor/renderer configurations. When widget renditions are requested, you MUST first read the widget-rendition.md reference file in this skill's references/ directory and follow its complete workflow. This is complex - always use this skill for CLT work.
One-time pipeline configurator. Inspects the repo (default branch, validation scripts, labels), asks a few questions, writes .ai/agentic.config.json — the file every other skill reads — installs the tracker descriptor, and generates missing project docs (SDLC.md, CODE_REVIEW.md, BACKWARD_COMPATIBILITY.md, AGENTS.md starter). Re-run when the toolchain or label taxonomy changes. Verifies cross-skill coverage and prints the install command for missing skills.
Review EXISTING test code for quality, smells, and testability issues. Detects test smells across six dimensions — readability, reliability, diagnostic value, design, AI-generated, and coverage — analyzes testability of application code, and backs the qualitative smells with mutation testing. Use when: "review my tests," "test quality audit," "test smells," "testability analysis," "are these tests any good." Not for: generating new tests — use `ai-test-generation`. Not for: testing AI features in your product — use `ai-system-testing`. Related: unit-testing, shift-left-testing, coverage-analysis, ai-test-generation.