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lyndonkl/claude

SkillsMP a collecté 271 skills depuis lyndonkl/claude. Ouvrez un skill pour examiner sa source et ses détails.

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Catalogue SkillsMP mis à jour
skills collectés
271
Étoiles GitHub
151
Forks GitHub
23

Affichage de 40 skills collectés sur 271.

métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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,…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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.…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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,…

Langue du texte source : anglais

mis à jour
métier
non classé
description

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,…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Assigns a substacker draft or published post to the best-fitting section (or to unassigned) based on content + section promises in section-map.md. Used by the Editor on every draft review (to load the right voice overlay) and by the Curator in batch mode.…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Evaluates the final paragraph of a substacker draft for compression and closing form — bolded maxim, forward-looking question, or compressed mechanism statement. For series posts (frontmatter series — {slug}), verifies the running scoreboard (P&L, Brier, W-L)…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Performs axial-coding-style thematic clustering over the substacker corpus of published posts to surface candidate sections. Uses Braun & Clarke's six-phase thematic analysis — familiarization, initial coding, searching for themes, reviewing themes, defining…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Computes substacker's rolling 4-week baseline for open rate, click rate, views-per-send, and weekly subscriber delta using corpus/stats/ archived CSVs. Produces per-metric z-scores of the current week against the baseline and flags cold-start windows where…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Writes a 60-140 word third-person blurb for the Substack cross-post feature, positioned so another newsletter writer can paste it into their cross-post popup without editing. Third-person throughout ("In this piece, Kushal argues…"). No subscriber CTAs. Use…

Langue du texte source : anglais

mis à jour
métier
non classé
description

For each Trend Scout candidate item, checks substacker shared-context/topic-ledger.md and tags with NEW | OVERLAPS seed:{slug} | OVERLAPS draft:{slug} | OVERLAPS published:{slug}. Adds a reinforcement_angle note for items overlapping with published posts…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Finds and cites a primary source for each substacker draft claim — original arXiv paper, official documentation, RFC, canonical textbook. Source hierarchy enforced — primary > secondary > tertiary > not-a-source. Records URL, title, passage/result that…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Checks a candidate seed against the existing substacker corpus (seeds, drafts, published) for exact duplicates (sha256 fingerprint) and near-duplicates (title Jaccard, first-200-word Jaccard, shared topic cluster). Exact match exits as SKIPPED. Near-match…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Derives a draft per-section voice overlay (deltas against substacker global voice-profile) once a section reaches ≥3 published posts with shared voice tells. Writes to shared-context/voices/{slug}.md. Writer reviews and commits. Overlay expresses only the…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Runs a vault learning module as a Kolb experiential cycle (Concrete Experience -> Reflective Observation -> Abstract Conceptualization -> Active Experimentation) instead of a lecture. Opens with an experience, withholds the explanation, draws the claim out of…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Extracts the 5-7 point argument backbone of a published substacker essay into a structured _spine.json working artifact that downstream platform-rewrite skills consume. Pulls verbatim sentences where possible (not paraphrases). Tags each point with evidence…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Uses WebFetch to pull publicly visible subscriber count and per-post public view count from substacker's Substack archive page and individual post URLs. Supplements the CSV when subscriber-count field is stale (>24h old) or when a post has public shares not…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Pulls substacker's weekly Substack stats directly from the dashboard via Claude-in-Chrome browser automation. Navigates to substack.com/stats, parses the posts table and subscribers table, and produces the same typed WeekExport object that ingest-substack-csv…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Fetches the last 7 days of updates from every entry in the substacker Trend Scout watchlist — blogs, paper aggregators (arXiv, Hugging Face papers), social feeds. Returns normalized {title, url, author, published, excerpt, source_type} tuples. Use at the…

Langue du texte source : anglais

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métier
non classé
description

For each simplified-boundary claim, drafts a one-paragraph suggestion for how to acknowledge the boundary inside the post — usually a single sentence or "but" clause — so the break becomes a teaching moment rather than hidden fragility. Runs for exactly the…

Langue du texte source : anglais

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métier
non classé
description

Generates exactly 5 distinct intuitive framings for a given technical topic — one everyday analogy, one physical metaphor, one contrarian take, one historical angle, one counterfactual. Each framing is a short scaffold (not prose), paired with its archetype…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Builds interactive D3 visualizations of genetics and genomics concepts for the vault's docs/ GitHub Pages site — each one a teaching object with a takeaway-stating title, an annotation layer, and a guided reading order. Specializes d3-visualization,…

Langue du texte source : anglais

mis à jour
métier
non classé
description

For each technical term in a substacker draft's claims, checks shared-context/glossary.md for a writer-specific definition and compares to field-standard. Emits a note for terms where the two diverge (aligned / diverged-safe / diverged-risky). Feeds into…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Drafts a proposed diff to substacker shared-context/goals.md showing which lines to add, remove, or change based on the quarter's review. Never writes to goals.md directly — writer applies manually. Used once per Growth Strategist review. Trigger keywords —…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Classifies every hedge in a substacker draft as either a precision hedge (keep — "n=1 may not replicate", "I do not know") or an epistemic-weakness hedge (flag — "I think", "perhaps", "arguably", "it could be argued"). Only flags weakness hedges; suggests…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Generates 3-5 candidate first-line hooks for a specific platform (Substack Note, X, LinkedIn, cross-post) from a given spine. Uses platform-appropriate hook patterns (confession / claim / question / reframe) and voice-profile constraints. Runs before each…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Names what the substacker writer should stop doing — habits with no evidence of use, goals that became theatre, sections with 2 consecutive dormant quarters, and agents in the team whose output the writer ignores. Produces a bulleted list, each item with one…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Ingests a single file from the substacker inbox/ into corpus/seeds/ as a normalized markdown seed with full frontmatter. Orchestrates format normalization, topic tagging, intuition-density scoring, dedupe, changelog, ledger update, and inbox-file move to…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Loads and validates a weekly Substack CSV stats export for the substacker Growth Analyst. Reconciles header against expected-columns schema, parses post rows + subscriber aggregates, moves file into corpus/stats/ on success, emits schema-warning stub on…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Rewrites a published substacker essay as a LinkedIn post with a hook fitting the 210-char fold, practitioner framing (less confessional than Substack), short 2-3 line paragraphs, and 0-2 niche hashtags. 900-2500 characters. Emits linkedin-post.md. Use as the…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Produces an explicit component-by-component mapping from the analogy's source domain to the target technical concept. Rejects vague analogies by forcing each source element to map to a specific target element, and flags unmapped elements as voice-breaking…

Langue du texte source : anglais

mis à jour
métier
non classé
description

A closed-book-first probing protocol that assesses how well the learner actually holds a module's claims — asking before telling, probing the gap, detecting misconceptions, then confirming. Tags each probe with a Bloom level, places the learner in a Dreyfus…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Validates and persists signal files to the yahoo-mlb signals directory. Every MLB skill calls this skill before writing a signal. Enforces the signal-framework.md schema -- required YAML frontmatter fields (type, date, emitted_by, confidence, source_urls),…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Normalizes a single inbox file of any supported format (plain markdown, Claude.ai JSON export, Claude Code JSONL session, Readwise markdown/CSV highlight, transcript with timestamps or speaker labels, link capture) into a clean markdown body plus partial…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Evaluates the first 1-3 sentences of a substacker draft against the writer's signature opener patterns — confession / "I hadn't done X" / reframe / small concrete admission. Classifies opener as confession | reframe | admission | news-hook | generic-opener…

Langue du texte source : anglais

mis à jour
Affichage de 40 skills collectés sur 271.