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Executing Development Plans with Critical Review

executing-plans

jnMetaCode/superpowers-zh

This skill guides the systematic execution of complex development plans. It mandates a critical review of the plan for dependencies, ambiguous conditions, and environmental assumptions before execution. The process involves incremental task completion, rigorous testing, structured committing, and final reporting, ensuring adherence to established development best practices.

Finalize Development Branch Workflow

finishing-a-development-branch

jnMetaCode/superpowers-zh

This skill guides developers through the structured completion of a feature branch. It enforces running comprehensive tests, detects the current Git environment (e.g., common repository vs. worktree), and presents clear options (merge, PR, retain, discard). It ensures safe integration, manages worktree cleanup, and enforces best practices for version control workflows.

Evidence-Based Completion Verification

verification-before-completion

jnMetaCode/superpowers-zh

This guide outlines a mandatory, evidence-based protocol for declaring any work complete, fixing a bug, or submitting a pull request. It strictly mandates that all claims of success must be supported by fresh, verifiable evidence, such as passing test outputs, successful build logs, or comprehensive checklist verification. It eliminates reliance on assumptions, gut feelings, or trusting proxy reports.

KubeSphere ArgoCD GitOps Configuration

kubesphere-devops-argocd

kubesphere/kubesphere

A comprehensive guide for configuring ArgoCD within KubeSphere DevOps. It details implementing GitOps continuous deployment, covering application management, multi-cluster setup, SSO integration via Dex, and best practices for managing application state synchronization from Git repositories. Learn the differences between direct ArgoCD and KubeSphere's tenant-friendly GitOps application creation.

Codebase Gap Analysis and Validation

kiro-validate-gap

This skill analyzes the implementation gap by comparing approved feature requirements against the existing codebase, architecture, and context. It helps identify missing capabilities, potential integration challenges, and necessary technical research areas. The output provides multiple viable implementation options and a comprehensive analysis report, guiding the transition from requirements definition to technical design.

Evidence-Based Completion Claim Verification

kiro-verify-completion

This skill rigorously verifies all claims of completion, whether for a task, a bug fix, or a feature rollout. It prevents false assurances by demanding fresh, multi-faceted evidence, including full test suite results, comprehensive coverage reports, integration status, and validation commands. Use it before declaring a component ready for GO or accepting a sub-agent's success report.

Principles for Modular System Design

modular-design-principles

tech-leads-club/agent-skills

Provides technology-agnostic guidance for architecting and reviewing modular systems. This skill covers core architectural principles such as bounded contexts, state isolation, explicit contracts, and failure containment. Use it when determining service boundaries, assessing coupling between domains, or designing new greenfield architectures without assuming a specific framework, language, or repository structure.

Adobe Incident Response Runbook

adobe-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

Comprehensive runbook for managing Adobe API integration outages, covering Firefly, PDF Services, and IMS authentication failures. Provides structured procedures for initial triage, determining severity (P1-P4), executing recovery steps (Auth/Rate Limit), implementing fallback modes, and documenting post-incident reports and communication.

Implementing BambooHR API Rate Limiting

bamboohr-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and utility for managing API interactions with BambooHR. It implements robust retry logic (with exponential backoff and jitter) to handle 503 and 429 rate limit errors. It also provides patterns for proactive optimization, such as queue-based throttling, batching data using custom reports, and utilizing incremental sync to maximize API throughput and reliability.

BambooHR API Integration Quickstart Guide

bamboohr-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Provides a minimal working example for integrating with the BambooHR API. It demonstrates fetching the complete employee directory, retrieving details for a single employee, and running custom reports. This guide is ideal for users starting new HR system integrations, testing API connectivity, or learning core HR data operations.

BambooHR API Debug Diagnostics Collection

bamboohr-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive utility designed to collect all necessary diagnostic evidence for troubleshooting BambooHR API issues or preparing detailed support tickets. It captures runtime environment information (Node.js, Python, OS), performs connectivity tests against core endpoints (e.g., employees, time off), and gathers redacted API response details, making it essential for efficient bug reporting.

Optimizing BambooHR API Performance

bamboohr-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to optimizing API interactions with BambooHR. Learn advanced techniques like eliminating N+1 queries using custom reports, implementing incremental syncing with 'changed-since' endpoints, robust response caching (LRU/Redis), connection pooling, and request batching. Use this when facing slow API responses or needing high-throughput data synchronization.

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