GitHub
finishing-a-development-branch
Use when all implementation tasks are complete and verified - provides structured workflow to verify tests, present merge options, and execute cleanup
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asadullah48 AI Skills
GitHub ↗Browse published AI skills maintained by asadullah48. Compare skill descriptions and follow each source repository for setup instructions.
Author statistics
Indexed skills
21Repository stars across indexed skills
17Repository forks
17Average repository stars per indexed skill
1Repository stars may repeat across skills from the same repository.
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GitHub
subagent-driven-development
Use when executing implementation plans - dispatches fresh subagent per task with two-stage review process (spec compliance then code quality)
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GitHub
dispatching-parallel-agents
Use when facing 2+ independent failures across different problem domains that can be investigated concurrently without shared state or sequential dependencies
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GitHub
hackathon-todo-advanced
Complete guide for Panaversity Hackathon II (Todo Spec-Driven Development) Phases 2-5. Use when working on Phase 3 (MCP + OpenAI Agents + ChatKit chatbot), Phase 4 (Kubernetes with Minikube, Helm, Docker), Phas...
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GitHub
writing-skills
Use when creating new skills or editing existing skills - applies TDD principles to process documentation with RED-GREEN-REFACTOR cycle
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GitHub
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior - requires finding root cause before attempting any fixes
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GitHub
kubernetes-health-check
Verify Kubernetes cluster health, resource availability, and readiness before deploying applications
☆ 1View skill
GitHub
brainstorming
Use when the user presents an idea, feature request, or problem that needs exploration before implementation - facilitates collaborative ideation through structured questioning and approach evaluation
☆ 1View skill
GitHub
receiving-code-review
Use when receiving code review feedback - requires technical evaluation before implementing suggestions, with verification and reasoned pushback when appropriate
☆ 1View skill
GitHub
writing-plans
Use when implementation is needed - creates detailed implementation plans assuming the engineer has zero context for the codebase
☆ 1View skill
GitHub
using-git-worktrees
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
☆ 1View skill
GitHub
requesting-code-review
Use when code review is needed - after each task in subagent-driven development, before merging to main, or after completing major features
☆ 1View skill
GitHub
verification-before-completion
Use when about to claim work is complete, fixed, or passing - requires running verification commands and confirming output before making any success claims
☆ 1View skill
GitHub
caps-format-validator
Validate CAPS (Coding Agent Playbook Spec) playbooks for correctness, completeness, and compatibility with Claude Code and Goose
☆ 1View skill
GitHub
agents-md-generator
Automatically generate comprehensive AGENTS.md files that teach AI agents how to work with a repository's structure, conventions, and guidelines
☆ 1View skill
GitHub
executing-plans
Use when you have a written implementation plan to execute - implements plan tasks in batches with review checkpoints between batches
☆ 1View skill
GitHub
test-driven-development
Use when implementing any feature or bugfix - requires writing a failing test before writing any production code
☆ 1View skill
GitHub
kafka-k8s-setup
Deploy Kafka on Kubernetes with topic creation and health checks
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GitHub
mcp-code-execution
Execute code snippets via MCP server with zero-token script pattern
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GitHub
agents-md-gen
Generate comprehensive AGENTS.md files for repositories
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GitHub
example-skill
Brief description of what this skill does and when to use it. Include trigger keywords that users would naturally mention.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.