Skills publicadas
Mostrando 12 de 7.366checkpoint
Salve o progresso atual no memory-keeper para evitar a perda de trabalho.
template-skill
Replace with description of the skill and when Claude should use it.
shirushi
Document ID management for Git repositories. Validates, assigns, and tracks immutable doc_ids across Markdown/YAML files. Use when working with doc_id, document IDs, "@see docid" references, document integrity validation, or shirushi commands.
observability-monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
projection-patterns
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
design-orchestration
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order. Prevents premature implementation, skipped validation, and unreviewed high-risk designs.
sales-coaching-plan-generator
Individualized development plans by weakness. Skill assessments, call reviews, ride-along checklists, certification tracking.
bio-spatial-transcriptomics-spatial-neighbors
Build spatial neighbor graphs for spatial transcriptomics data using Squidpy. Compute k-nearest neighbors, Delaunay triangulation, and radius-based connectivity for downstream spatial analyses. Use when building spatial neighborhood graphs.
bio-sam-bam-basics
View, convert, and understand SAM/BAM/CRAM alignment files using samtools and pysam. Use when inspecting alignments, converting between formats, or understanding alignment file structure.
linkerd-patterns
Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.
binding-characterization
Guidance for SPR and BLI binding characterization experiments. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.
agentdb-memory-patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.