From thinking-frameworks-skills
Searches substacker corpus of seeds, drafts, and published Markdown files for topics, keywords, analogies, or authors. Returns top 10 ranked matches with id, title, status, density score, and excerpt. Use to retrieve prior thoughts before generating new content.
npx claudepluginhub lyndonkl/claude --plugin thinking-frameworks-skillsThis skill uses the workspace's default tool permissions.
- [Workflow](#workflow)
Generates design tokens/docs from CSS/Tailwind/styled-components codebases, audits visual consistency across 10 dimensions, detects AI slop in UI.
Records polished WebM UI demo videos of web apps using Playwright with cursor overlay, natural pacing, and three-phase scripting. Activates for demo, walkthrough, screen recording, or tutorial requests.
Delivers idiomatic Kotlin patterns for null safety, immutability, sealed classes, coroutines, Flows, extensions, DSL builders, and Gradle DSL. Use when writing, reviewing, refactoring, or designing Kotlin code.
Related skills: Called by intuition-builder (before generating framings), editor (before reviewing a draft to surface prior thinking), writer directly. Read-only — no writes.
Search corpus for query:
- [ ] Step 1: Parse query → topic tag, keyword, analogy term, or author
- [ ] Step 2: Grep corpus/{seeds,drafts,published}/**/*.md
- [ ] Step 3: Rank matches by signal
- [ ] Step 4: Format top 10 as a ranked list with id, status, density, excerpt
The skill accepts three query shapes:
dropout): grep frontmatter topics: for the tag; fallback to body keyword.kv cache): grep body + title for the phrase.{topics: [attention-mechanism], status: published}): direct filter.Rank by:
published > draft > seed > dead.Exclude corpus/dead/ always unless query includes include_dead: true.
Top 10 matches, one per line:
N. {id} | {status} | density={score} | "{first-sentence excerpt, ≤120 chars}"
If >10 results, show 10 and append: ... N more matches — narrow the query.
If 0 results: No matches. Candidate related searches: {suggest 2-3 alternate topic tags}.
Query: dropout
Matches:
1. 2026-04-21-dropout-as-ensemble-thinned-networks | seed | density=7 | "had a thought while running — dropout is secretly an ensemble method."
2. 2026-02-08-bagging-in-deep-nets | draft | density=6 | "bagging is the thing dropout is trying to be."
3. 2025-11-14-noise-as-regularization | published | density=5 | "adding noise at training time prevents the model from memorizing."
Query: KV cache (freeform)
Matches:
No matches. Candidate related searches: attention-mechanism, inference, context-engineering
corpus/dead/ unless query explicitly opts in.manual_edits: true — do not reveal private-looking content beyond first-sentence excerpt without caller explicitly requesting full seed read.