GitHub
mechinterp-decoder
Analyze SAE decoder weights - output influence, feature importance, and decoder similarity
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GitHub
mechinterp-validation-suite
Run credibility checks on feature interpretations including split-half stability and shuffle null tests
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GitHub
mechinterp-glossary-and-constraints
Reference skill for Splatoon ability families, AP rungs, token constraints, and domain rules for mechinterp experiments
☆ 1查看技能
GitHub
mechinterp-state
Manage research state for SAE feature analysis including hypotheses, evidence tracking, and research history
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GitHub
mechinterp-next-step-planner
Propose next mechanistic interpretability experiments based on research state, hypotheses, and existing evidence
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GitHub
splatoon3-meta
Domain expert for Splatoon 3 competitive gear abilities and weapon meta. Use when: (1) Labeling or classifying gear build features from SAE analysis, (2) Understanding why specific ability combinations appear i...
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GitHub
mechinterp-investigator
Orchestrate a systematic research program to investigate and meaningfully label SAE features
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GitHub
mechinterp-labeler
Manage feature labeling workflow - queue management, label storage, similar features, progress tracking
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GitHub
mechinterp-overview
Quick "first look" overview of SAE features - top tokens, activation stats, weapons, families, sample contexts
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GitHub
mechinterp-patterns
Reference catalog of recurring SAE feature patterns - check when labeling new features, add new patterns as discovered
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GitHub
mechinterp-cluster-mapper
Analyze relationships across multiple SAE features - co-activation patterns, shared drivers, and subsystem identification
☆ 1查看技能
GitHub
mechinterp-runner
Execute mechanistic interpretability experiments from JSON specs - family sweeps, itemsets, interactions, minimal cores, validation
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GitHub
mechinterp-crossmodel-matcher
Match SAE features between Ultra (24K) and Full (2K) models based on activation patterns and token overlap
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GitHub
mechinterp-ability-semantics
Reference for ability family semantic groupings and gameplay meanings
☆ 1查看技能
GitHub
core-rules
Use ALWAYS. Core development rules for production-ready code - guard clauses, no shortcuts, no mocking.
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GitHub
pr-workflow
Use when creating, reviewing, or merging pull requests. Includes CI checks, review requirements, and merge approval rules.
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GitHub
tdd
Use when implementing ANY new feature or fixing bugs. Test-Driven Development - write tests BEFORE implementation code.
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GitHub
verification
Use before claiming ANY work is complete. Evidence before claims, always. Non-negotiable verification gate.
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GitHub
quality-gate
PFLICHT bei JEDER Antwort mit Code-Änderungen! Die 8-Punkt-Checklist MUSS als ERSTES in der Response stehen. Keine Ausnahmen.
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GitHub
delegation
Use when deciding whether to delegate work to subagents. Lists available agents with triggers and capabilities. Delegate aggressively.
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GitHub
debugging
Use when facing ANY technical issue. Systematic debugging - root cause investigation BEFORE attempting fixes.
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GitHub
graphiti-memory
Use when starting a session, beginning a new task, or encountering errors. Graphiti is the knowledge graph memory system for storing patterns, fixes, preferences and learnings across all projects.
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GitHub
worktree
Use before ANY code changes. Ensures work happens in isolated git worktrees, not on main branch. Critical safety check.
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GitHub
pr-review-check
Check Pull Request on current branch, and obtain unresolved review comments. `gh` command is required. Use this when user instructed with `PR review comment` `PR レビューコメント` etc.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。