The library
Everything we index — ranked by what works, never by stars.
forSalesMarketingHRFinanceLegalOpsProductEngineeringDataProductivitySupportsetup≤ plug & play≤ + a key≤ multi-tool
● works · ● untested / no effect · ● hurts — every rank is measured against a no-skill baseline
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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.
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.
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.
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.
Patch activations to test causal claimsskillEngineeringL2
pyvene-interventions · guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework
Screen for psychological distress quicklyskillHRL1
distress-screening · screening for nonspecific psychological distress or tracking symptom burden over time
Analyze complex socio-technical failuresskillOpsL2
rca-systems-theoretic · investigating incidents in healthcare, aviation, nuclear, autonomous systems, distributed microservices, or any system where multiple act...
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...
Merge docs and fixes to main without releaseskillEngineeringL1
push · Solving push challenges
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...
Reverse-engineer transformer internalsskillEngineeringDataL3
transformer-lens-interpretability · guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints a...
Find, evaluate, and cite informationskillL1
information-literacy · conducting research, evaluating sources, navigating digital information environments, teaching research skills, or addressing plagiarism ...
Deduplicate and filter training dataskillEngineeringL3
nemo-curator · GPU-accelerated data curation for LLM training
Analyze literary texts and themesskillL1
literary-analysis · interpreting literary texts, analyzing author craft, applying critical lenses, discussing theme and symbolism, or exploring how literary ...
Process ML datasets at scaleskillDataEngineeringL3
ray-data · Batch inference and preprocessing on 100GB+ datasets across multi-node clusters.
Cancel and debounce async requestsskillEngineeringL1
riverpod-cancel · Flutter apps cancelling requests when user navigates or triggers rapid refreshes.
Teach phonics and decoding skillsskillL1
phonics-decoding · Teaching early literacy and diagnosing reading errors via Running Records.
Fine-tune models with GRPOskillEngineeringDataL3
grpo-rl-training · Teaching specific output formats (XML, JSON) and verifiable tasks without preference pairs.
Build reading comprehension skillsskillL1
reading-comprehension · Teaching comprehension when decoding is automatic and meaning-construction needs scaffolding.
Interpret genetic variantsskillL1
variant-interpretation · Automated clinical variant reporting with ACMG evidence codes.
Develop vocabulary and word skillsskillL1
vocabulary-development · Teaching Tier 2 academic vocabulary when explicit word learning is needed.
Check Ralph Specum statusskillL2
ralph-specum-status · Real-time verification of spectrum analyzer readiness before measurement campaigns.
Engineer new InCTRL modulesskillEngineeringL3
model_engineer · Designing end-to-end ML systems from task spec to production deployment.
Verify facts and sourcesskillOpsMarketingL2
data-fidelity · Discovering data quality issues before training to avoid garbage-in-garbage-out.
Align models with SimPOskillEngineeringDataL3
simpo-training · Quick preference optimization without reward model or RL infrastructure.
Build Claude integrationsskillEngineeringProductL2
claude-typescript-sdk · Integrating Claude into TypeScript backends and Node.js scripts.
Generate structured research reportsskillOpsMarketingL3
research-engine · Rapid multi-source research synthesis with transparent evidence chains.
Avoid Sentry configuration pitfallsskillEngineeringL1
sentry-known-pitfalls · Quick diagnosis of Sentry setup failures and error categorization issues.
Package research into missionsskillOpsEngineeringL2
research-mission-generator · Decomposing business goals into actionable research programs.
Fix PHP type errors automaticallyskillEngineeringL2
phpstan-resolver · Migrating PHP codebases to strict type checking incrementally.
Fine-tune LLMs with TRLskillEngineeringDataL3
fine-tuning-with-trl · Multi-phase RLHF pipelines (SFT→Reward→PPO) where you control each alignment stage.
Analyze scientific data and experimentsskillDataL2
data-analysis-sci · When you have raw measurements and need to extract honest conclusions with proper error analysis.
Manage Node dependencies with pnpmskillEngineeringL1
pnpm · Monorepos needing deterministic builds, strict dependency isolation, and centralized version catalogs.
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.
Train safer AI with constitutional methodsskillEngineeringL1
constitutional-ai · When you want safety alignment without human labels and need explainable reasoning in refusals.
Review your changes since last commitskillEngineeringL1
diff-since-my-commit · Code review workflows where you need to see what others changed to your files.
Design controlled experiments correctlyskillDataL1
experimental-design-sci · When you must isolate causal effects and design has constraints (ethics, cost, timescale).
Moderate LLM outputs with LlamaGuardskillEngineeringL2
llamaguard · Production input/output filtering where you need a specialized 7B moderation model instead of general LLM.
Validate PubFi DSL server contractsskillEngineeringL1
pubfi-dsl-server-contract · When you need strict input validation and reject SQL/unknown-field queries server-side.
Contextualize science through its historyskillProductL1
history-philosophy-science · When teaching or designing science curricula and need historical/philosophical grounding.
Add runtime guardrails to LLM appsskillEngineeringL2
nemo-guardrails · When you need stateful conversational guardrails beyond single-turn content moderation.
Protect GitLab branches from changesskillEngineeringL1
gitlab-protected-branches · Multi-team workflows where you must enforce review gates and prevent force-push accidents.
Communicate complex ideas clearlyskillProductivityL1
science-communication · When translating peer-reviewed findings for policy, education, or public audiences.
Detect prompt injection attacksskillEngineeringL2
prompt-guard · When you need lightweight client-side jailbreak detection before sending to LLM.
Run systematic investigations reliablyskillDataL1
scientific-method · When teaching or designing any empirical study and need a repeatable framework.
Scale PyTorch training across GPUsskillEngineeringL3
huggingface-accelerate · When you have a standard PyTorch training loop and need easy multi-GPU scaling.
Make responses actionable with citationsskillProductivityL1
citations · When generating bibliographies and need fast, accurate formatting across styles.
Design interactions for 3D interfacesskillProductL1
3d-interaction-design · When designing immersive/VR interfaces where 2D principles fail.
Redline data export portability clausesskillLegalL1
datenexport-portabilitaet · When implementing data portability rights (GDPR Art. 20) or migration tooling.
Track objects in augmented realityskillEngineeringL1
augmented-reality-tracking · Diagnosing why virtual AR content does not register with physical world; guides technique selection.