claude

In the author's own words, from each skill's SKILL.md — showing the first 30 of 271 files.

• abstraction-concrete-examples

  Builds structured abstraction ladders that translate high-level principles into concrete, actionable examples across 3-5 levels. Bridges communication gaps, reveals hidden assumptions, and tests whether abstract ideas work in practice. Use when explaining concepts at different expertise levels, moving between abstract principles and concrete implementation, identifying edge cases by testing ideas…

  skills/abstraction-concrete-examples/SKILL.md on GitHub (opens in a new tab)

• academic-letter-architect

  Guides the creation of evidence-based academic recommendation letters, reference letters, and award nominations that combine concrete examples, meaningful comparisons, and genuine enthusiasm. Use when writing recommendation letters for students, postdocs, or colleagues, or when user mentions recommendation letter, reference, nomination, letter of support, endorsement, or needs help with strong ad…

  skills/academic-letter-architect/SKILL.md on GitHub (opens in a new tab)

• adr-architecture

  Documents significant architectural and technical decisions with full context, alternatives considered, trade-offs analyzed, and consequences understood. Creates a decision trail that helps teams understand why decisions were made. Use when choosing between technology options, making infrastructure decisions, establishing standards, migrating systems, or when user mentions ADR, architecture decis…

  skills/adr-architecture/SKILL.md on GitHub (opens in a new tab)

• adverse-selection-prior

  Produces a Bayesian prior probability that an offered transaction is +EV for the recipient, given that the counterparty chose to propose it. Applies Akerlof market-for-lemons logic -- if they offered it, they believe it is +EV for them, so the prior that it is +EV for us is materially below 50%. Reusable across trade evaluation, waiver drops (another team dropping a player is also adverse selecti…

  skills/adverse-selection-prior/SKILL.md on GitHub (opens in a new tab)

• advisory-edit

  A strict advisory-only editing discipline for a writer who dictates ("speaks out") essays and wants help WITHOUT having their voice changed. The editor directs structure, flags grammar, and suggests strategic language — but never modifies the writer's text unless the writer explicitly says "apply" / "make that change" / "rewrite this." Produces a line-referenced, suggestion-only critique where ev…

  skills/advisory-edit/SKILL.md on GitHub (opens in a new tab)

• alignment-values-north-star

  Creates actionable alignment frameworks that give teams a shared North Star (direction), values (guardrails), and decision tenets (behavioral standards). Enables autonomous decision-making while maintaining organizational coherence. Use when starting new teams, scaling organizations, defining culture, establishing product vision, resolving misalignment, creating strategic clarity, or when user me…

  skills/alignment-values-north-star/SKILL.md on GitHub (opens in a new tab)

• analogy-weight-check

  For every analogy in a substacker draft, verifies it carries mechanical weight — the analogy does real work explaining the mechanism, not merely decorates it. Cross-references analogy-catalog.md for novelty (is this analogy reused from a prior post?) and domain fit (biology > organizational > sports preferred; physics/military disfavored). Use whenever an analogy appears in the draft. Trigger key…

  skills/analogy-weight-check/SKILL.md on GitHub (opens in a new tab)

• anomaly-fraud-scanner

  Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with a new merchant above a high-dollar threshold, and unusual geography or time. Produces severity-tagged alerts with the transaction id, evidence, and a recommended action (call bank, freeze card, dispute…

  skills/anomaly-fraud-scanner/SKILL.md on GitHub (opens in a new tab)

• answer-uncomfortable-question

  Takes one strategic question about substacker ("should we launch paid?", "is this section dead?", "are we writing for the wrong audience?") and produces the mandatory evidence + reasoning + downside triad plus a recommendation. Used 3 times per Growth Strategist review. Trigger keywords — uncomfortable question, strategic question, evidence reasoning downside, triad.

  skills/answer-uncomfortable-question/SKILL.md on GitHub (opens in a new tab)

• attribute-performance

  For each substacker post that materially over- or under-performs the rolling baseline (|z| ≥ 1.0), produces a plain-English attribution paragraph with calibrated confidence (high / medium / low / unexplained). Considers subject-line effect, topic zeitgeist, external share, day-of-week, length effect, and audience-notes signals. Labels unexplained outliers explicitly rather than fabricating a stor…

  skills/attribute-performance/SKILL.md on GitHub (opens in a new tab)

• auction-first-price-shading

  Computes the optimal shaded bid for a first-price sealed-bid auction given a true private value, an estimate of the number of competing bidders N, and a value-distribution assumption. Implements the `(N-1)/N` equilibrium shading rule for uniform private values, adjusts for log-normal or empirical value distributions, layers a risk-aversion adjustment, and caps output against the bidder's remainin…

  skills/auction-first-price-shading/SKILL.md on GitHub (opens in a new tab)

• auction-winners-curse-haircut

  Applies a Bayesian haircut to a bid valuation for common-value auctions where winning is itself evidence the bidder over-estimated. Takes a raw valuation, a value-type classification (common_value / private_value / mixed), the number of informed bidders N, and a signal-dispersion estimate, and returns an adjusted valuation. Domain-neutral and reusable across fantasy FAAB, prediction markets, M&A…

  skills/auction-winners-curse-haircut/SKILL.md on GitHub (opens in a new tab)

• audit-drift

  Checks every post currently assigned to a substacker section against that section's promise and flags posts that no longer fit. Distinguishes acceptable-stretch (minor) from borderline (surface for review) from genuine-drift (violates promise). Never reassigns automatically — only flags. Use on every Curator run where at least one section already exists. Trigger keywords — drift, drift audit, sec…

  skills/audit-drift/SKILL.md on GitHub (opens in a new tab)

• bayesian-reasoning-calibration

  Applies Bayesian reasoning to systematically update probability estimates with new evidence, helping make better forecasts and avoid overconfidence. Use when making predictions or judgments under uncertainty, forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating confidence, assessing risks with uncertain data, or when user mentions priors, likelihoods, Bayes theorem, pro…

  skills/bayesian-reasoning-calibration/SKILL.md on GitHub (opens in a new tab)

• brainstorm-diverge-converge

  Applies structured divergent-convergent thinking to generate many creative options, organize them into meaningful clusters, then systematically evaluate and narrow to the strongest choices. Balances creative exploration with disciplined decision-making. Use when exploring product ideas, solving open-ended problems, generating strategic alternatives, developing research questions, designing experi…

  skills/brainstorm-diverge-converge/SKILL.md on GitHub (opens in a new tab)

• business-narrative-builder

  Constructs a structured narrative linking a company's qualitative business story to quantitative valuation drivers (revenue growth, target margin, reinvestment efficiency, cost of capital, failure risk). Classifies the company within a 6-stage corporate life cycle and sizes the total addressable market. Use when starting a company analysis, building a valuation narrative, assessing competitive po…

  skills/business-narrative-builder/SKILL.md on GitHub (opens in a new tab)

• career-document-architect

  Guides the creation of career documents for academic advancement including research statements, teaching statements, diversity statements, CVs, and biosketches. Combines strategic positioning, narrative coherence, and institutional alignment with authentic representation of contributions and vision. Use when writing or reviewing faculty applications, fellowship statements, promotion packages, awa…

  skills/career-document-architect/SKILL.md on GitHub (opens in a new tab)

• cash-flow-forecaster

  Projects 30-90 days of daily cash flow per cash account by combining current balance, scheduled recurring inflows and outflows from recurring.json, and a 6-month rolling average of discretionary spend, then flags days where projected balance falls below a configurable safety floor. Use for forward planning, detecting upcoming overdrafts, sizing pre-funding for sinking funds, or when user mentions…

  skills/cash-flow-forecaster/SKILL.md on GitHub (opens in a new tab)

• category-allocation-best-response

  Computes the best-response allocation of roster resources across categories in a Head-to-Head Categories matchup. Given our per-category capacity, the opponent's projected output, per-category win probabilities (from matchup-win-probability-sim), and a K-of-N winning threshold, classifies categories into pushed / contested / conceded buckets, emits per-category leverage weights for downstream lin…

  skills/category-allocation-best-response/SKILL.md on GitHub (opens in a new tab)

• category-trend-analyzer

  For each spending category, computes current-period spend, 6-month rolling average, year-over-year delta, and budget variance, then flags categories that are outliers (>1.5x rolling average or >130% of budget). Produces a ranked list of categories that grew, shrank, or stayed flat, plus the top transactions driving each outlier. Use for monthly spending reviews, identifying lifestyle creep, evalu…

  skills/category-trend-analyzer/SKILL.md on GitHub (opens in a new tab)

• causal-inference-root-cause

  Systematically investigates causal relationships to identify true root causes rather than correlations or symptoms. Distinguishes genuine causation from spurious associations, tests competing explanations, and designs interventions addressing underlying drivers. Use when investigating why something happened, debugging systems, analyzing failures, evaluating policy impacts, or when user mentions r…

  skills/causal-inference-root-cause/SKILL.md on GitHub (opens in a new tab)

• chain-estimation-decision-storytelling

  Chains estimation, decision analysis, and storytelling to transform uncertain choices into clear, stakeholder-ready recommendations. Quantifies uncertain variables, applies expected value analysis to identify the best option, then packages the analysis into a persuasive narrative. Use when evaluating strategic options (build vs buy, market entry, resource allocation), quantifying tradeoffs, justi…

  skills/chain-estimation-decision-storytelling/SKILL.md on GitHub (opens in a new tab)

• chain-roleplay-debate-synthesis

  Facilitates structured roleplay, debate, and synthesis to resolve decisions with multiple legitimate perspectives and inherent tensions. Surfaces assumptions that single-viewpoint analysis would miss and integrates competing priorities into coherent recommendations. Use when stakeholders have competing priorities (growth vs. sustainability, speed vs. quality), need to pressure-test ideas from dif…

  skills/chain-roleplay-debate-synthesis/SKILL.md on GitHub (opens in a new tab)

• chain-spec-risk-metrics

  Chains together clear specifications, proactive risk analysis (premortem/register), and measurable success metrics into a comprehensive planning artifact for high-stakes initiatives. Use when planning migrations, launches, or strategic changes that need implementation roadmaps, risk mitigation, and instrumentation. Invoke when user mentions "plan this migration", "launch strategy", "implementatio…

  skills/chain-spec-risk-metrics/SKILL.md on GitHub (opens in a new tab)

• check-analogy-novelty

  Cross-references each proposed analogy in a 5-framing set against substacker shared-context/analogy-catalog.md to flag reuse. Classifies each analogy as new, reused-from-catalog (and which entry), or adjacent-to-catalog (close to an existing entry but not identical). Prevents the writer from recycling "imagine a library" for the twentieth time. Use after generate-analogy-set and before presenting…

  skills/check-analogy-novelty/SKILL.md on GitHub (opens in a new tab)

• check-corpus-readiness

  Checks whether the substacker corpus has enough material to justify a Curator run. Counts published posts, time-gates against the last review, and reports go/no-go with the specific gate that failed. Use before any Curator run, and on cold start to decide whether to propose sections yet. Trigger keywords — readiness, corpus ready, gate check, cadence gate, pre-flight.

  skills/check-corpus-readiness/SKILL.md on GitHub (opens in a new tab)

• chef-assistant

  Guides cooking through culinary principles, food science, and flavor architecture rather than rote recipe steps. Covers technique teaching (knife skills, sauces, searing, braising), food science (Maillard reaction, emulsions, brining), flavor troubleshooting (salt/acid/fat/heat balance), menu planning, ingredient substitutions, plating, and cultural cuisine exploration. Use when users mention coo…

  skills/chef-assistant/SKILL.md on GitHub (opens in a new tab)

• citation-form-check

  Verifies every paper or named research result cited in a substacker draft uses the inline "Author(s), Institution, Year" form per style-guide, not a bare hyperlink or title-alone reference. Flags bare-hyperlink citations and missing-institution attributions. Use whenever the draft references external research. Trigger keywords — citation, paper citation, bare hyperlink, authors, institution, refe…

  skills/citation-form-check/SKILL.md on GitHub (opens in a new tab)

• claim-extractor

  Extracts atomic technical claims from a substacker essay draft, converting flowing intuition-first prose into a numbered list where each item is a statement that could in principle be verified or falsified. Skips non-technical sections (personal anecdote, motivation, call-to-action). Use when the Technical Reviewer starts a per-draft review. Trigger keywords — extract claims, atomic claims, techn…

  skills/claim-extractor/SKILL.md on GitHub (opens in a new tab)

• classify-claim

  Assigns each extracted claim to one of five buckets — simplified-correct, simplified-boundary, wrong, contested, overclaim — with low/medium/high confidence and one-sentence rationale. Classification happens before primary-source verification (which confirms, not invents). Use for every claim from claim-extractor. Trigger keywords — classify, bucket, simplified vs wrong, claim type, technical cla…

  skills/classify-claim/SKILL.md on GitHub (opens in a new tab)

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