The library

md-document · Sharing long-form documents (specs, RFCs, reports) with non-technical stakeholders via email.

atomic-structure · Chemistry teaching and predicting bonding behavior from periodic relationships.

md-review · Single-file PR reviews with margin annotations and severity breakdowns.

chemical-bonding · Determining molecular geometry and polarity from bond data without lab equipment.

md-slides · Markdown-authored slide decks with presenter notes and live keyboard navigation.

materials-chemistry · Designing greener chemical processes and understanding material state behavior under varying conditions.

skill · Cross-dataset gene alignment in single-cell RNA-seq when feature naming standards differ.

organic-chemistry · Designing organic syntheses and understanding reaction mechanisms without wet-lab work.

reactions-stoichiometry · Solving quantitative chemistry problems and thermochemistry without calculation errors.

skill · Injecting auditable, curated expertise into agentic systems with full source traceability.

cloud-identity-and-auth · Building cloud platforms with federated identity, zero over-privilege, and auditability.

distributed-consensus · Replicating state machines, electing leaders, and ensuring split-brain safety without blockchain.

distributed-storage · Apply distributed-storage when appropriate to your use case.

network-fundamentals-cloud · Building reliable cloud network topologies resistant to partitions and outages.

haskell-agent · Building provably-safe agents in Haskell when imperative patterns are error-prone.

reliability-engineering-cloud · Building infrastructure that humans can reliably operate and improve with data.

agents-to-im · Broadcasting agent results to multiple IM channels when your team is cross-platform.

service-architecture · Building scalable systems where services fail independently without cascade.

remotion-transitions · Creating multi-clip videos programmatically without expensive video software.

algorithms-data-structures · Solving programming interview problems and building efficient systems without trial-and-error.

computational-thinking · Tackling novel algorithmic problems when no pre-built library fits.

debugging-testing · Finding production bugs and preventing them via systematic testing rather than trial-and-error

programming-fundamentals · Teaching programming from first principles when you need mental models, not just syntax

skill · Answering Islamic knowledge questions with grounded sources rather than LLM hallucination

software-design · Making architectural decisions that reduce coupling, improve testability, and make wrong things hard

systems-programming · Understanding and optimizing code that cannot ignore hardware constraints (kernels, embedded, HFT, databases)

active-listening · Improving understanding in any conversation where communication failures are costly (mediation, therapy, leadership, conflict)

skill · Structuring a multi-phase implementation of a full-stack mobile app with modern UI and backend auth

conflict-resolution · Resolving workplace, team, or interpersonal conflict when you need the relationship to survive

interpersonal-communication · Improving one-on-one relationships through deeper listening and strategic sharing

media-literacy · Understanding how medium and message interact to shape perception, especially in evaluating news and propaganda

persuasion-rhetoric · Constructing persuasive arguments and detecting fallacies in rhetoric

public-speaking · Delivering high-stakes presentations with confidence, clarity, and command of the room

argument-evaluation · Assessing claims in research, policy, and debate by checking both form and substance

cognitive-biases · Making better decisions in uncertain conditions by accounting for how brains systematically misthink

creative-thinking · Generating solutions when standard approaches have been exhausted or constraints have changed

skill · Quick baseline review when no domain expert is available

decision-making · Making high-stakes decisions with clear reasoning that can be audited or revisited

skill · Ensuring consistency and preventing forgetting standard steps in recurring processes

evidence-assessment · Assessing research claims and evaluating expert disagreement when stakes are high

skill · Ensuring consistent execution of repeatable tasks where quality is critical

logical-reasoning · When the question is not whether a premise is true but whether the reasoning from premises to conclusion is logically valid.

data-visualization · When creating charts, designing dashboards, critiquing visualizations, or choosing how to display data.

skill · When this is the appropriate approach for the task.

data-wrangling · When preparing, cleaning, or transforming data for analysis.

skill · When this is the appropriate approach for the task.

experimental-design-ds · When designing experiments, planning a/b tests, calculating sample sizes, or reasoning about causation from data.

cradle-ecosystem-data-ingestion · When this is the appropriate approach for the task.

machine-learning-foundations · When building predictive models, selecting algorithms, or understanding the machine learning pipeline.

skill · When this is the appropriate approach for the task.