The library

Everything we index — ranked by what works, never by stars.

untested
Apply five whys and fishbone diagramsskillOpsL1
rca-classical-methods · Linear, single-cause shop-floor incidents (5 Whys), or multi-pathway quality incidents (Fishbone), or safety-critical system design review (FTA/FMEA) where classical techniques have proven power.
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Debug distributed systems with tracesskillEngineeringL3
rca-distributed-systems · Production incidents in microservice meshes (Kubernetes, Istio, Linkerd) where the fault could originate in any of 10-100 services and the causal path runs through network hops, retries, and timeouts.
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Interpret 70B models without local GPUskillEngineeringDataL3
nnsight-remote-interpretability · Running the same interpretability code on GPT-2 locally and Llama-405B remotely without code changes, enabling scalable mechanistic interpretability research on massive models.
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Analyze human factors in incidentsskillOpsL1
rca-human-factors · Safety-critical industries (aviation, healthcare, emergency response, nuclear) where understanding why the operator's action was reasonable from their perspective reveals system design flaws to fix.
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Patch activations to test causal claimsskillEngineeringL2
pyvene-interventions · guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework
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Screen for psychological distress quicklyskillHRL1
distress-screening · screening for nonspecific psychological distress or tracking symptom burden over time
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Analyze complex socio-technical failuresskillOpsL2
rca-systems-theoretic · investigating incidents in healthcare, aviation, nuclear, autonomous systems, distributed microservices, or any system where multiple act...
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Train sparse autoencoders to find featuresskillEngineeringDataL3
sparse-autoencoder-training · guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable f...
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Merge docs and fixes to main without releaseskillEngineeringL1
push · Solving push challenges
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Evaluate arguments and spot author biasskillL1
critical-reading · evaluating arguments, identifying bias, assessing source reliability, analyzing rhetoric, or synthesizing across multiple texts on the sa...
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Reverse-engineer transformer internalsskillEngineeringDataL3
transformer-lens-interpretability · guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints a...
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Find, evaluate, and cite informationskillL1
information-literacy · conducting research, evaluating sources, navigating digital information environments, teaching research skills, or addressing plagiarism ...
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Deduplicate and filter training dataskillEngineeringL3
nemo-curator · GPU-accelerated data curation for LLM training
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Analyze literary texts and themesskillL1
literary-analysis · interpreting literary texts, analyzing author craft, applying critical lenses, discussing theme and symbolism, or exploring how literary ...
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Process ML datasets at scaleskillDataEngineeringL3
ray-data · Batch inference and preprocessing on 100GB+ datasets across multi-node clusters.
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Cancel and debounce async requestsskillEngineeringL1
riverpod-cancel · Flutter apps cancelling requests when user navigates or triggers rapid refreshes.
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Teach phonics and decoding skillsskillL1
phonics-decoding · Teaching early literacy and diagnosing reading errors via Running Records.
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Fine-tune models with GRPOskillEngineeringDataL3
grpo-rl-training · Teaching specific output formats (XML, JSON) and verifiable tasks without preference pairs.
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Build reading comprehension skillsskillL1
reading-comprehension · Teaching comprehension when decoding is automatic and meaning-construction needs scaffolding.
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Interpret genetic variantsskillL1
variant-interpretation · Automated clinical variant reporting with ACMG evidence codes.
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Develop vocabulary and word skillsskillL1
vocabulary-development · Teaching Tier 2 academic vocabulary when explicit word learning is needed.
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Check Ralph Specum statusskillL2
ralph-specum-status · Real-time verification of spectrum analyzer readiness before measurement campaigns.
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Engineer new InCTRL modulesskillEngineeringL3
model_engineer · Designing end-to-end ML systems from task spec to production deployment.
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Verify facts and sourcesskillOpsMarketingL2
data-fidelity · Discovering data quality issues before training to avoid garbage-in-garbage-out.
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Align models with SimPOskillEngineeringDataL3
simpo-training · Quick preference optimization without reward model or RL infrastructure.
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Build Claude integrationsskillEngineeringProductL2
claude-typescript-sdk · Integrating Claude into TypeScript backends and Node.js scripts.
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Generate structured research reportsskillOpsMarketingL3
research-engine · Rapid multi-source research synthesis with transparent evidence chains.
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Avoid Sentry configuration pitfallsskillEngineeringL1
sentry-known-pitfalls · Quick diagnosis of Sentry setup failures and error categorization issues.
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Package research into missionsskillOpsEngineeringL2
research-mission-generator · Decomposing business goals into actionable research programs.
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Fix PHP type errors automaticallyskillEngineeringL2
phpstan-resolver · Migrating PHP codebases to strict type checking incrementally.
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Fine-tune LLMs with TRLskillEngineeringDataL3
fine-tuning-with-trl · Multi-phase RLHF pipelines (SFT→Reward→PPO) where you control each alignment stage.
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Analyze scientific data and experimentsskillDataL2
data-analysis-sci · When you have raw measurements and need to extract honest conclusions with proper error analysis.
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Manage Node dependencies with pnpmskillEngineeringL1
pnpm · Monorepos needing deterministic builds, strict dependency isolation, and centralized version catalogs.
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Teach scientific inquiry through earth systemsskillProductL1
earth-life-systems · When you need to design long-term ecological studies or extract causal claims from field observations.
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Train safer AI with constitutional methodsskillEngineeringL1
constitutional-ai · When you want safety alignment without human labels and need explainable reasoning in refusals.
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Review your changes since last commitskillEngineeringL1
diff-since-my-commit · Code review workflows where you need to see what others changed to your files.
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Design controlled experiments correctlyskillDataL1
experimental-design-sci · When you must isolate causal effects and design has constraints (ethics, cost, timescale).
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Moderate LLM outputs with LlamaGuardskillEngineeringL2
llamaguard · Production input/output filtering where you need a specialized 7B moderation model instead of general LLM.
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Validate PubFi DSL server contractsskillEngineeringL1
pubfi-dsl-server-contract · When you need strict input validation and reject SQL/unknown-field queries server-side.
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Contextualize science through its historyskillProductL1
history-philosophy-science · When teaching or designing science curricula and need historical/philosophical grounding.
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Add runtime guardrails to LLM appsskillEngineeringL2
nemo-guardrails · When you need stateful conversational guardrails beyond single-turn content moderation.
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Protect GitLab branches from changesskillEngineeringL1
gitlab-protected-branches · Multi-team workflows where you must enforce review gates and prevent force-push accidents.
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Communicate complex ideas clearlyskillProductivityL1
science-communication · When translating peer-reviewed findings for policy, education, or public audiences.
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Detect prompt injection attacksskillEngineeringL2
prompt-guard · When you need lightweight client-side jailbreak detection before sending to LLM.
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Run systematic investigations reliablyskillDataL1
scientific-method · When teaching or designing any empirical study and need a repeatable framework.
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Scale PyTorch training across GPUsskillEngineeringL3
huggingface-accelerate · When you have a standard PyTorch training loop and need easy multi-GPU scaling.
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Make responses actionable with citationsskillProductivityL1
citations · When generating bibliographies and need fast, accurate formatting across styles.
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Design interactions for 3D interfacesskillProductL1
3d-interaction-design · When designing immersive/VR interfaces where 2D principles fail.
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Redline data export portability clausesskillLegalL1
datenexport-portabilitaet · When implementing data portability rights (GDPR Art. 20) or migration tooling.
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Track objects in augmented realityskillEngineeringL1
augmented-reality-tracking · Diagnosing why virtual AR content does not register with physical world; guides technique selection.
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