GitHub
supabase-mastery
Ensure every database change is secure, traceable, and migration-based.
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lshtram AI Skills
GitHub ↗Browse published AI skills maintained by lshtram. Compare skill descriptions and follow each source repository for setup instructions.
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Indexed skills
18Repository stars across indexed skills
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0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
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GitHub
sequential-thinking
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GitHub
spec-writer
Interviews the user to clarify requirements and generates a comprehensive Product Requirement Document (PRD).
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GitHub
meta-prompting
Design optimal prompts or break down complex tasks into sub-prompts.
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GitHub
research-mastery
Eliminate technical hallucinations by validating APIs and library versions via external search.
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GitHub
knowledge-integration
Distill task-specific learnings into project-wide permanent records.
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GitHub
strong-prompt
Analyze user requests to ensure clarity, safety, and strategic alignment without causing "Prompt Fatigue."
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GitHub
context-management
Manage Token Stewardship and "Living Memory."
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GitHub
test-architect
Design a comprehensive Testing Strategy *before* code is written.
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GitHub
security-audit
Identify vulnerabilities using adversarial thinking and OWASP standards.
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GitHub
env-security
Prevent secret leakage and implement robust error monitoring.
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GitHub
doc-maintainer
Ensure "Living Documentation" integrity by reverse-syncing Code -> Docs.
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GitHub
github-automation
Automate the bridge between local development and the remote repository.
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GitHub
perspective-engineering
Surface blind spots by simulating debates between competing viewpoints.
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GitHub
start-task
Initialize a new parallel task environment using git worktrees. required for every new task.
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GitHub
self-correction
Autonomously critique and verify code/logic before it reaches the user.
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GitHub
pattern-enforcement
strictly enforce "Gold Standard" patterns from `CODING_STYLE.md`.
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GitHub
finish-task
Concludes a task by verifying code (lint/test) and merging changes.
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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.