lvtd-skills

Build product A/B test briefs with hypotheses, success metrics, guardrails, baselines, proxy metrics, eligibility, variants, randomization, confidence, and launch criteria. Use when planning an A/B test from a product idea, writing an experiment spec, defining test/control variants, choosing metrics, or checking whether an experiment is ready to run.

Analyze and communicate A/B test results with metric readouts, subgroup analysis, data-quality checks, ad hoc investigation, visualization, and launch recommendations. Use when interpreting experiment results, preparing an A/B test report, explaining flat or mixed results, checking guardrails, segmenting test/control data, or turning experiment data into a product decision.

Plan A/B testing platform strategy, architecture, and build-vs-buy decisions for product engineering teams. Use when deciding whether to build or buy an experimentation platform, scoping feature flagging, targeting, assignment, exposure logging, metrics pipelines, dashboards, governance, or evolving a simple testing setup into a durable platform.

Plan adaptive experimentation strategies beyond fixed-horizon A/B tests. Use when evaluating sequential testing, early stopping, multi-armed bandits, Thompson sampling, contextual bandits, dynamic traffic allocation, exploration/exploitation tradeoffs, or readiness for adaptive testing infrastructure.

Use when adding, changing, or debugging Alpine.js behavior in Django-rendered templates, especially when Alpine.js coexists with HTMX partial updates.

Use when presenting or auditing expertise, credentials, certifications, advisory boards, expert quotes, trust badges, medical claims, legal claims, financial claims, institutional logos, titles, uniforms, or authority signals that could create undue deference.

Build B2B reach systems that make a defined market aware of the company through named accounts, real buyers, controlled delivery channels, and first-touch saturation. Use when the right market may not know the company exists, outbound gets little signal, brand awareness is vague, the target market is too broad, or the team needs a concrete account list and reach plan.

Audit and rewrite B2B sales messaging so the right buyers quickly understand the painful problem, concrete outcome, and mechanism behind the offer. Use when buyers see the company but do not remember it, cannot explain what it does, do not connect it to a trigger, or messaging sounds clever, vague, over-complex, generic, or too simplified for the buyer's world.

Diagnose the single B2B sales constraint currently limiting pipeline or revenue and route to the right repair workflow. Use when sales feels stuck, pipeline is weak, leads ghost, outbound is not working, conversion is unclear, or the team is debating whether to fix reach, messaging, follow-up timing, or trust.

Design recurring B2B buyer-presence systems that keep a company remembered until pain becomes urgent, using time-based visibility cadence instead of unreliable intent signals or linear funnel assumptions. Use when buyers know the company but deals stall, follow-up is inconsistent, the team waits for triggers, expands markets too early, or wants a 4-6 week account visibility rhythm.

Engineer B2B buyer trust by reducing perceived risk, stacking relevant proof, simplifying next steps, and designing sales calls to confirm confidence rather than persuade from scratch. Use when qualified buyers take calls, request proposals, start trials, or show interest but then stall, ghost, choose safer incumbents, or hesitate because proof, certainty, process, or risk reversal is weak.

Plan beta reading rounds for practical nonfiction and turn reader comments, abandonment, confusion, skepticism, and negative feedback into manuscript revisions. Use when recruiting beta readers, preparing reader instructions, synthesizing feedback, deciding whether a book is ready, or improving a draft from real reader data.

Plan and synthesize pre-draft reader conversations for useful nonfiction books, including listening interviews, teaching calls, reader-language capture, promise validation, scope refinement, and TOC testing. Use when validating a practical book idea, finding target readers, preparing interview prompts, testing a table of contents, or turning reader conversations into book decisions.

Optimize useful nonfiction book sales after the book is already working, including Amazon or retailer funnels, cover thumbnail clarity, store descriptions, authentic reviews, extra formats, pricing, upsells, piracy hooks, and fan engagement. Use when improving a book product page, purchase funnel, format strategy, pricing, direct sales, or post-launch growth.

Plan seed marketing for useful nonfiction books so the first 500-1000 target readers can start word of mouth. Use when choosing launch channels, planning a podcast or digital book tour, Amazon PPC, event giveaways, bulk sales, writing in public, content schedules, or email capture for a practical book.

Design and pressure-test useful nonfiction book promises, scopes, recommendation loops, and takeaway-first tables of contents before drafting. Use when planning, outlining, scoping, restructuring, validating, or testing a practical book, guide, manual, course-like book, or other reader-outcome-focused long-form nonfiction.

Run broken link building and link equity salvage workflows by finding relevant resource pages, checking outbound link status, verifying dead URLs, qualifying dead backlinks, preparing replacement outreach, and mapping old owned URLs to redirects. Use when finding broken link prospects, replacing dead resources, recovering lost backlinks, or auditing old URLs after migrations and redesigns.

Test-drive browser JavaScript behavior with DOM fixtures, test runners, smoke tests, onload timing, selector refactors, and integration tradeoffs with Selenium or end-to-end tests. Use when adding client-side behavior, debugging DOM tests, choosing between JS unit tests and browser functional tests, or making JavaScript testable without overusing Selenium.

Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs). Use when listing books, searching/filtering library records, reading/updating metadata, adding/removing formats, exporting books, maintaining custom columns, running library checks, managing FTS indexing/search, or creating catalogs/backups from a Calibre library.

Design, write, review, and test code samples in developer documentation, including executable examples, explanatory snippets, request and response pairs, placeholders, outputs, language choice, sandboxing, and autogenerated samples. Use when docs include API examples, SDK snippets, CLI commands, config examples, tutorials, or code blocks readers may copy.

Calculate, review, and generate web color systems using RGB, HSL, LAB, OKLCH, contrast ratios, luminance, opacity, blend modes, and light/dark mode transformations. Use when auditing accessible colors, converting color models, deriving palettes, checking WCAG contrast, building theme tokens, or debugging opacity and CSS blend math.

Use when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing flows, or lowball-risk funnels where consistency pressure may shape user decisions.

Use when sequencing offers, pricing tiers, proposals, negotiation anchors, product demos, before-after comparisons, concession framing, reason-giving, request wording, or comparative messaging where contrast effects or shallow reasons may distort decisions.

Use when adding, changing, testing, or debugging Cookiecutter templates, including cookiecutter.json variables, Jinja-rendered files, hooks, _copy_without_render, optional feature cleanup, and generated-project validation.

Derive and debug CSS Grid layout math for grid coordinates, line placement, spans, negative indexes, fr units, minmax(), fit-content(), repeat(), auto-fill, and auto-fit. Use when building grid systems, explaining track sizing, troubleshooting fr distribution, placing items by line numbers, or converting a layout sketch into CSS Grid formulas.

Explain, derive, and debug CSS math for measurement units, calc(), min(), max(), clamp(), custom properties, inheritance, em/rem scaling, percentages, viewport units, and box model formulas. Use when CSS dimensions compute unexpectedly, when mixing units, when building scalable spacing/type systems, or when reviewing box sizing and inherited values.

Evaluate whether customer, sales, investor, partner, or product meetings produced real commitment and advancement instead of polite interest. Use when interpreting meeting outcomes, stalled leads, trial requests, letters of intent, preorders, warm intros, case-study offers, unclear next steps, or compliments after a pitch.

Find and frame customer conversations through warm intros, communities, casual chats, events, advisors, landing-page replies, and meeting requests. Use when a team needs people to interview, cold outreach is failing, a meeting ask sounds needy or pitchy, or customer discovery needs a credible reason to talk.

Plan and audit customer discovery conversations that produce concrete evidence instead of compliments, opinions, hypotheticals, or feature-request noise. Use when planning customer interviews, rewriting interview scripts, validating startup ideas before building, avoiding biased questions, or applying Mom Test-style customer learning.

Turn customer conversation notes, interview transcripts, call summaries, CRM snippets, or research notes into shared team learning and next questions. Use when synthesizing raw customer notes, avoiding founder interpretation bottlenecks, extracting quotes and signals, updating beliefs, or deciding what to ask next.

Narrow broad customer categories into specific, reachable who-where segments for customer discovery, positioning, traction tests, sales outreach, or SEO personas. Use when feedback is inconsistent, the market is too broad, personas are vague, users request too many different features, or the team does not know where to find target customers.

Research developer documentation audiences by mapping user goals, learning objectives, business goals, developer traits, user questions, personas, user stories, journey maps, and friction logs. Use when planning docs for APIs, SDKs, platforms, CLIs, developer tools, onboarding guides, SaaS docs, or support-heavy docs before writing or restructuring content.

Draft developer documentation with clear goals, outlines, titles, headers, procedures, scenario walkthroughs, lists, callouts, skimmable structure, and reusable templates. Use when writing or rewriting READMEs, getting-started docs, tutorials, how-to guides, concepts, API guides, troubleshooting pages, migration guides, SaaS topics, or release documentation.

Edit and review developer documentation for technical accuracy, completeness, structure, clarity, brevity, peer feedback, technical review, technical verification, QA procedure testing, and feedback integration. Use when reviewing, editing, refactoring, or preparing developer docs for release, especially docs with procedures, examples, prerequisites, or high-risk technical claims.

Plan developer documentation by choosing content types, defining scope, making documentation decisions, researching features, planning scenarios, and turning user needs into a practical documentation plan. Use when planning READMEs, getting-started guides, concepts, tutorials, how-to guides, API references, troubleshooting docs, changelogs, release notes, Agile docs work, or multi-doc launch plans.

Research product and feature facts for developer documentation by mapping source-of-truth owners, validating behavior hands-on, interviewing SMEs, and turning uncertainty into doc-ready notes. Use when feature specs are incomplete, implementation details need user-facing meaning, SMEs disagree, or docs require evidence before planning, drafting, release notes, API docs, tutorials, scenarios, or troubleshooting content.

Plan and review survey-led digital PR campaigns that earn editorial links through credible data, methodology, story framing, journalist outreach, and promotion. Use when creating data studies, expert surveys, journalist pitches, methodology notes, PR exclusives, or linkable research assets for SEO.

Evaluate directories, listings, profiles, citations, associations, and resource indexes for legitimate link-building value, editorial quality, spam risk, local relevance, and submission fit. Use when deciding whether to submit to a directory, audit directory backlinks, compare listing opportunities, or reject low-quality indexes.

Optimize Django and pytest-django test execution in CI with cache configuration, slow-test splitting, database reuse strategy, parallel workers, pytest-xdist, CircleCI/GitHub Actions/Jenkins/Travis patterns, and full-coverage safeguards. Use when CI test jobs are slow, flaky under parallelism, missing slow-test coverage, or need a local-vs-CI test command design.

Diagnose and improve slow Django database-backed endpoints with evidence-first profiling, query-plan review, index selection, ORM loading fixes, batching, database-side computation, materialized views, and pagination choices. Use when a Django view, API, job, report, queryset, or database query is slow and the right optimization path is not obvious.

Move Django performance-sensitive Python loops into database-side computation with annotations, aggregates, filtered aggregates, F expressions, functions, Subquery, OuterRef, Exists, Window expressions, db_default, and GeneratedField. Use when Django code counts, sums, filters, flags, ranks, or derives values in Python after fetching rows.

Make Django deployment changes test-driven across Docker, production settings, Gunicorn, WhiteNoise/static files, environment variables, Ansible/server setup, staging smoke tests, and release checks. Use when containerizing Django, preparing production config, debugging staging, automating deploys, or deciding what deployment behavior functional tests should verify.

Test-drive Django validation across model constraints, forms, ModelForms, views, template errors, duplicate handling, and redirects. Use when adding or refactoring Django forms, surfacing validation errors, deciding model-vs-form-vs-view responsibility, or preventing invalid input from being saved.

Build and review HTMX interactions in Django server-rendered projects, especially generated django-saas-starter apps. Use when adding hx attributes, partial template responses, request.htmx branching, django-htmx response headers, forms, swaps, triggers, redirects, polling, boosted links or forms, or coordinating HTMX with Alpine.js local state.

Design safe Django and PostgreSQL indexes from measured query plans, including B-tree, composite, covering, partial, expression, GIN/JSONB, BRIN, and concurrent migration patterns. Use when a Django query plan suggests missing or mismatched indexes, a production table needs an index without write downtime, or existing indexes need review.

Model, migrate, refresh, and verify PostgreSQL materialized views in Django for expensive report or dashboard queries that can tolerate stale data. Use when ORM/index/query rewrites are not enough, the result is read often, freshness can be bounded, and a Django app needs unmanaged models, RunSQL migrations, refresh commands, or concurrent refresh.

Optimize Django ORM query loading by fixing N+1 queries, duplicate related-object queries, over-fetching, serializer/template query loops, and inappropriate select_related, prefetch_related, only, or defer usage. Use when a Django page, API, admin view, template, serializer, or queryset issues too many queries or loads more model data than needed.

Drive Django features with outside-in and double-loop TDD: user story, Selenium or functional test, focused Django unit/integration tests, minimal implementation, and refactor. Use when starting or changing Django behavior with tests-first workflow, red/green/refactor, working-state-to-working-state refactors, or deciding which layer should own the next test.

Improve Django and Django REST Framework pagination for large querysets using bounded page sizes, stable ordering, indexed ordering, offset limits, keyset pagination, DRF CursorPagination, and count-query tradeoffs. Use when list pages, admin views, APIs, exports, or infinite scroll become slow, inconsistent, or memory-heavy as result sets grow.

Use when adding, changing, testing, or debugging Django Q2 background tasks, scheduled jobs, qcluster workers, Redis broker configuration, or ORM broker fallback in Django projects.