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Found 2,087 Skills
AI video pipeline validator for Veo 3 feasibility, 8-second scene chunking, and shot continuity. USE WHEN: Validating screenplays for AI video generation, chunking scenes into 8-second segments, generating continuation prompts, scoring feasibility risk, or adding editing metadata. PIPELINE POSITION: screenwriter → **production-validator** → imagine/arch-v INPUT: XML from screenwriter skill (scene tags with duration, action, key_visuals) OUTPUT: Enhanced XML with validation, chunks, continuity tags, and Veo 3 prompts KEY FUNCTIONS: - Veo 3 feasibility validation with risk scoring (LOW/MEDIUM/HIGH/CRITICAL) - 8-second scene chunking with continuation prompts - Shot continuity tagging for editors - Technical optimization for AI-friendly alternatives
Analyzes moral dimensions and value conflicts through ethical frameworks using deontology, consequentialism, virtue ethics, and applied ethics methodologies. Provides insights on moral obligations, rights, justice, and ethical decision-making. Use when: Ethical dilemmas, policy decisions, technology ethics, professional conduct issues. Evaluates: Moral principles, stakeholder interests, consequences, rights, justice, virtues.
Retrieves chemical compound information from PubChem and ChEMBL with disambiguation, cross-referencing, and quality assessment. Creates comprehensive compound profiles with identifiers, properties, bioactivity, and drug information. Use when users need chemical data, drug information, or mention PubChem CID, ChEMBL ID, SMILES, InChI, or compound names.
Use this when the user explicitly requests to "write/polish NSFC grant abstract", "generate Chinese and English abstracts", or "translate Chinese abstract to English abstract". Output both Chinese and English versions: The English version must be a faithful translation of the Chinese version (no additional information, no omission of key constraints). The default limit for Chinese abstract is ≤400 characters (including punctuation), and ≤4000 characters for English abstract (including punctuation); the final limit shall prevail as specified in `skills/nsfc-abstract/config.yaml:limits`. Also output **title suggestions**: By default, provide 1 recommended title + 5 candidate titles with justifications (the quantity shall follow `config.yaml:title.title_candidates_default`). Output method: Write the results to `NSFC-ABSTRACTS.md` in the **working directory** (the file name shall follow `config.yaml:output.filename`), which includes in order `# Title Suggestions`, Chinese abstract, English abstract, and length self-check. ⚠️ Not applicable in the following cases: - The user only wants to translate a general text unrelated to grant proposals (direct translation is required instead) - The user only wants to write the main body of project justification/research content/research foundation (use the corresponding NSFC series skill instead)
Use when evaluating animation usability, conducting motion studies, or when researching how animation affects user perception and task completion.
Create social media content assets with ready-to-use copy and visual direction. Use when user asks to create content, write captions, make posts, or generate social media assets. Triggers on - "buat konten", "content create", "buat caption", "/content-create" command, or requests to create specific social media posts with copy and visuals.
Warden skill: evaluates first-pass findings and proposes deterministic lint rules that could permanently catch the same patterns. Requires Warden's multi-pass pipeline (phase 2).
Craft a clear, empathetic End-of-Life (EOL) message that communicates product or feature discontinuation, explains the rationale, addresses customer impact, provides transition support, and positions
Deep web research with parallel investigators, multi-wave exploration, and structured synthesis. Spawns multiple web-researcher agents to explore different facets of a topic simultaneously, launches additional waves when gaps are identified, then synthesizes findings. Use when asked to research, investigate, compare options, find best practices, or gather comprehensive information from the web.\n\nThoroughness: quick for factual lookups | medium for focused topics | thorough for comparisons/evaluations (waves continue while critical gaps remain) | very-thorough for comprehensive research (waves continue until satisficed). Auto-selects if not specified.
Query the BCRA (Banco Central de la República Argentina) Central de Deudores API to check the credit status of individuals or companies in Argentina's financial system. Use when the user asks to check someone's debt situation, credit report, financial standing, rejected checks, or credit history using a CUIT/CUIL/CDI number. Also use when the user mentions "central de deudores", "situación crediticia", "deudas BCRA", "cheques rechazados", "historial crediticio", "informe crediticio", or wants to know if a person or company has debts reported in Argentina's financial system.
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper discovery/evaluation criteria.
Identifies which user segment to focus on first using pain severity, willingness to pay, reachability, and strategic alignment. Use when choosing your initial target audience or re-evaluating segment focus.