Results for “pr”

Provides regulatory compliance assessments across data privacy, AI ethics, and localization laws, producing structured outputs with risk scores and remediation status.

Builds a persistent profile of the operator's identity, preferences, and rejected patterns across sessions, reading it at session start and updating it at session end.

Routes product-discovery work into the right stage — opportunity brief, research, PRD, tickets, or outcome review — and hands off to the matching sub-skill.

Rewrites free-form draft prompts into the conventions Claude Opus 4.6 or 4.8 responds best to, either inline or by overwriting a draft file.

Implement GDPR data protection requirements, including consent management, data subject rights, and privacy by design for processing EU personal data.

Load this skill when the user says "prepare base", "prepare-base", or "/prepare-base". Prunes remote tracking references, checks out a base branch, pulls latest, and cleans up local-only feature branches after confirmation.

Use when reading or writing files under ~/Notes/Projects/, starting a new project, or archiving a finished one. Covers folder layout, the board file, supporting notes, and the project lifecycle across Future/, Projects/, and Archive/.

Project processkit security policy Artifacts into runtime policy files for Agent-IDS and Tetragon-style enforcement. Use when an agent-ids-rule or image-provenance-policy Artifact must become an executable security configuration.

Creates concise early UX discovery artifacts for PRD development, customer development, new product ideas, feature bets, and redesigns. Use when the user asks to hypothesize an ideal customer profile, generate proto-personas, write customer problem or jobs-to-be-done hypotheses, create journey maps, shape value propositions, or turn product context into design-sprint-style customer insight artifacts for product and engineering teams.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Independent DeepSeek-backed adversarial proof-audit step for existing theorem, lemma, proposition, or proof artifacts in Markdown, LaTeX, or proof logs. Use when asked to check, audit, verify, red-team, or adversarially review a proof; when a completed proof task needs a correctness pass; or when a broader proof workflow dispatches an independent reviewer to find gaps, hidden assumptions, counterexamples, or unjustified steps.

Run a structured discovery interview and produce a complete, developer-ready Product Requirements Document. Load when the user asks to write a PRD, create product requirements, document a feature, define user stories with acceptance criteria, or turn a rough idea into a formal product requirements document. Also triggers on "document this feature", "write requirements for", "create a one-pager", "turn this into a PRD", "I need a PRD for", or any request to produce a structured product document for stakeholder alignment or engineering handoff. Supports Full PRD, Lean PRD, and One-Pager formats. Note: for executable feature specifications (FRs, NFRs, ACs as Given/When/Then consumable by AI coding agents), route to `feature-spec` instead — PRDs frame the product, feature-specs encode the implementable contract.

Predict biomolecular complexes with Chai-1, an open AlphaFold3-style model that folds multi-entity assemblies (proteins, ligands, nucleic acids) from a single typed FASTA — strong on antibody–antigen and protein–ligand complexes, with optional MSA and restraint inputs. Use when predicting an antibody–antigen complex, folding a mixed protein/ligand/nucleic-acid assembly described in one FASTA, or generating a complex with experimental restraints. For binding-affinity prediction or a ligand-focused co-fold prefer alterlab-boltz; for protein-only or protein–protein folding prefer alterlab-alphafold; to dock into a fixed receptor prefer alterlab-diffdock. Part of the AlterLab Academic Skills suite.

Query the STRING API for protein-protein interactions (59M proteins, 20B interactions across 5000+ species), building interaction networks, discovering functional partners, and running GO/KEGG/Pfam enrichment on protein lists. Use when constructing a protein-protein interaction network, expanding from seed proteins to functional partners, or running PPI-based enrichment for systems biology; for curated metabolic pathway maps and reactions prefer alterlab-kegg, and for protein sequences, annotations, or accession ID mapping prefer alterlab-uniprot instead. Part of the AlterLab Academic Skills suite.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Guides attorneys through deposition witness preparation using a two-session model with document review, practice examination, and day-of logistics. Covers party witnesses, fact witnesses, 30(b)(6) corporate representatives, and experts. Produces preparation memos, document review lists, topic summaries, and day-of checklists. Enforces ABA Opinion 508 ethical boundaries. Use when preparing any witness for deposition, scheduling prep sessions, or building witness preparation materials.

Privacy and shielded transactions on Base via Veil Cash (veil.cash). Deposit ETH or USDC into private pools, withdraw/transfer privately using ZK proofs. Manage Veil keypairs, check private/queue balances across all pools, and submit deposits via Bankr. Use when the user wants anonymous or private transactions, shielded transfers, or ZK-based privacy on Base.

Expert in Prisma - the TypeScript ORM for type-safe database access. Covers schema design, migrations, Prisma Client queries, relations, edge deployment, and performance optimization. Essential for building reliable database layers in TypeScript applications. Use when "prisma, orm, database typescript, prisma client, prisma migrate, type-safe database, prisma, orm, database, typescript, postgresql, migrations, type-safe" mentioned.

Provides domain knowledge of Korean government and private funding program announcement systems, evaluation criteria, and key program characteristics, including TIPS, Early-Stage Startup Package, Startup Growth Technology Development, and AI Voucher.

Use before merging a pythinker-code release PR to preview the user-facing CLI changelog in Chinese. Reads the changelog that changesets pre-generated in the release PR, then reuses sync-changelog's strip / classify / translate logic to render a Chinese preview. Writes no files.

Provides production-grade Django architecture patterns including project structure, model design, REST API design with DRF, ORM best practices, caching, signals, and middleware.

Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness, providing detailed improvement recommendations with frameworks, testing methodologies, and educational content.

Extract full product details from Taobao or Tmall product pages by item ID, including title, price, shop info, images, SKU variants, and attributes.

Implements Schnorr identification protocol and zero-knowledge password proof for authentication where the server never learns the user's password.

Integrate FIRST's Exploit Prediction Scoring System (EPSS) API to prioritize vulnerability remediation based on real-world exploitation probability within 30 days.

Generates brutalist web prototypes with Swiss industrial-print aesthetics, using grotesque typography, oversized numbers, ASCII decorations, and hazard-red accents.

Provides production-grade Django architecture patterns covering project structure, split settings, ORM best practices, REST API design with DRF, caching, signals, and middleware.

Choose between scikit-learn for predictive workflows and statsmodels for inferential modeling, with guidance on preprocessing, leakage prevention, validation, and result handoff.

Legacy/migration guidance for v1 Process entities — declarative workflow definitions with roles, gates, and a definition of done. In v2, use process-instance WorkItems plus Artifact-backed definitions instead of creating new Process records.

Root reference for litigation practice spanning civil, criminal, and administrative proceedings. Provides sub-area taxonomy, core principles, and routing guidance. Use when classifying litigation work, routing to a sub-practice skill, or applying general litigation standards.

Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.

Design, launch, or optimize referral and affiliate programs with mechanics, incentives, triggers, and measurement.

Scans a DICOM series folder to extract header metadata and produce a preflight verdict without decoding pixel data.

Generate targeted value proposition statements for marketing, sales, and customer onboarding from existing value propositions.

Earn press coverage and media mentions through PR outreach, newsjacking, and journalist pitching.

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.