Topic: quantitative-finance
98 skills in this topic.
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command_guard
Enforce .agentpolicy rules before executing commands.
CheekyCodexConjurer/quant-lab
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clarify_first
Ask clarifying questions and get approval before implementation.
CheekyCodexConjurer/quant-lab
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cartographer
Maintain living architecture maps and interaction flows.
CheekyCodexConjurer/quant-lab
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backlog_curator
Maintain a lightweight backlog of high-value tasks discovered during work.
CheekyCodexConjurer/quant-lab
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autonomy_kickoff
Run the full autonomy bootstrap with minimal questions.
CheekyCodexConjurer/quant-lab
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ast_injection
Use AST-aware edits to reduce syntax errors and maintain structure.
CheekyCodexConjurer/quant-lab
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archaeologist
Detect legacy patterns and guide compatibility decisions.
CheekyCodexConjurer/quant-lab
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analyze_repo_capabilities
Detect repo tooling and patterns, then record a dynamic manifest.
CheekyCodexConjurer/quant-lab
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agent_manager
Automatically manage agent lifecycle, proposals, and registry.
CheekyCodexConjurer/quant-lab
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action_logger
Keep an audit trail of changes, commands, and verification.
CheekyCodexConjurer/quant-lab
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write_adr
Document architectural decisions with context and consequences.
CheekyCodexConjurer/quant-lab
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update_kit
Update this documentation kit safely from upstream.
CheekyCodexConjurer/quant-lab
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update_architecture
Refresh architecture maps after structural changes.
CheekyCodexConjurer/quant-lab
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trust_layer_tdd
Enforce test-first changes and debug based on failing tests.
CheekyCodexConjurer/quant-lab
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skills_sync
Align Codex-native skills with documented skills safely.
CheekyCodexConjurer/quant-lab
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skills_auditor
Detect incorrectly installed skills and report issues.
CheekyCodexConjurer/quant-lab
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size_guard
Enforce line budgets and rotate or split large context files.
CheekyCodexConjurer/quant-lab
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shadow_coder
Build parallel architectures safely without breaking current behavior.
CheekyCodexConjurer/quant-lab
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safety_validation
Validate changes against .agentignore before commit.
CheekyCodexConjurer/quant-lab
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response_style_selector
Ask the user to pick a response style and persist the preference.
CheekyCodexConjurer/quant-lab
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experiment-design
Best practices for designing reproducible experiments
Yeachan-Heo/My-Jogyo 162
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ml-rigor
Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
Yeachan-Heo/My-Jogyo 162
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data-analysis
Patterns for data loading, exploration, and statistical analysis
Yeachan-Heo/My-Jogyo 162
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experiment-design
Best practices for designing reproducible experiments
Yeachan-Heo/My-Jogyo 162