thinking-frameworks-skills

Evaluates M&A targets by computing standalone value, synergy value, and maximum acquisition price. Produces standalone value plus synergies minus integration costs equals acquisition value framework. Use when evaluating acquisition targets, computing synergy value, determining bid price, analyzing mergers, or when user mentions M&A, acquisition valuation, synergy analysis, merger premium, or target valuation.

Closed-book assessor for the learnbiostats studio. Probes mastery of a module's claims through Socratic, no-notes questioning across Bloom levels, detects misconceptions, bands the result on the Dreyfus-flavored mastery scale, and schedules the next spaced-repetition surfacing. Grounded in the mastery-assessment skill. Use to assess a module the tutor has flagged as ready (`curriculum/modules/pNmM-*.md` + its question bank), to run a spaced-repetition review of due evergreen notes, or to check whether a module has reached `mastered`. Writes (on approval) an assessment-session note and updates `review-due:` / `mastery:` dates; proposes everything first, never commits or publishes autonomously.

Curriculum coach for the learnbiostats studio. Holds the whole-program view — tracks the learner's position across phases and modules (`curriculum/`, `progress/`), decides what to study next given prerequisites and mastery, paces the plan against a daily cadence, and surfaces the spaced-repetition queue (the evergreen notes and modules whose review-due date has arrived). Reads the trackers and proposes updates to the status board, skills matrix, and journal. Use to plan the week, ask "what's next?", check pacing, or pull today's review queue. Proposes the plan and the tracker edits; the human approves, and nothing is committed to git or published autonomously.

Advisory-only editor for spoken-out, dictated essays in the learnbiostats studio. Directs STRUCTURE, flags grammar, and suggests strategic language — but never modifies the writer's text unless the writer explicitly says "apply"/"rewrite this." Deliberately has no Write/Edit/Bash tools, so it physically cannot alter a draft; it returns a line-referenced, suggestion-only critique. Use to review a draft (writing/drafts/*.md), critique a spoken article, run a structural/line/voice pass, or do a pre-publish check. Grounded in the advisory-edit and learning-in-public-voice skills.

Bottom-up cluster-finder for the learnbiostats vault. Reads the evergreen/ knowledge graph and proposes structure notes when a real cluster has formed — a minimum of 4 related evergreen notes before a cluster is "ready," and flags over-large clusters (>12 notes) for splitting. Mirrors the reference vault's Emergence agent: structure is discovered from the notes, never imposed a priori. Use when the writer asks "find clusters", "what structure notes are ready?", "is this idea solid enough to write up?", or runs the periodic emergence scan. Proposes structure-note drafts; the writer approves before anything is saved.

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 against scenarios, designing layered documentation, decomposing complex problems into actionable steps, or bridging strategy-execution gaps.

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 advocacy and comparative statements.

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 decision, technical decision record, or decision documentation.

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 selection), job-offer analysis, M&A, and any "someone offered me this" situation. Use when you receive an unsolicited trade/offer/proposal, analyzing incoming trade prior, evaluating why a counterparty proposed a deal, or when user mentions adverse selection, market for lemons, why did they offer this, incoming trade prior, they proposed it, Bayesian adjustment on received offer.

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 every item is marked the writer's call. Four passes: structural, line (grammar/clarity), voice, pre-publish. Use when reviewing a draft, critiquing a spoken-out article, or doing a pre-publish check. The companion to learning-in-public-voice and the operating manual for the biostat-editor agent.