thinking-patterns/SKILL.md
# Thinking Patterns Skill Longitudinal cognitive pattern analysis across months of recorded conversations. Extracts evidence-based dimensions from Fathom transcripts, synthesizes cross-session patterns, and detects blind spots you can't see yourself. ## Usage ``` /thinking-patterns # full analysis, default period (3 months) /thinking-patterns --dry-run # corpus stats + batch plan only /thinking-patterns --period 2026-01 2026-02 # custom date
npx skillsauth add glebis/claude-skills thinking-patternsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Longitudinal cognitive pattern analysis across months of recorded conversations. Extracts evidence-based dimensions from Fathom transcripts, synthesizes cross-session patterns, and detects blind spots you can't see yourself.
/thinking-patterns # full analysis, default period (3 months)
/thinking-patterns --dry-run # corpus stats + batch plan only
/thinking-patterns --period 2026-01 2026-02 # custom date range
| Dimension | Framework | |-----------|-----------| | Cognitive distortions | Burns' 10 categories | | Problem framing | Discourse analysis | | Conceptual metaphors | Lakoff & Johnson / MIPVU | | Hedging & certainty | Epistemic marker taxonomy | | Code-switching | Bilingual cognition research | | Decision moments | GDMS + behavioral markers | | Emotional indicators | Russell's Circumplex + ACT | | Avoidance & deflection | ACT experiential avoidance | | Agency language | Narrative Identity Theory | | Competing commitments | Immunity to Change (Kegan) | | Role/register markers | Sociolinguistic analysis | | Energy signals | Engagement markers |
Plus: "The 5 Things You Don't See" summary.
ai-research/YYYYMMDD-thinking-patterns-analysis.md## ResearchStage 0: Corpus Discovery (~30s, orchestrator)
├── Find transcripts, classify, extract Gleb's speech
└── Load reference docs, plan batches
Stage 1: Per-Transcript Extraction (~3 min, 10-13 parallel sonnet agents)
├── Each agent processes 1-4 transcripts
└── Returns structured JSON per transcript (12 dimensions)
Stage 2: Aggregation (~30s, orchestrator)
├── Parse JSONs, de-duplicate, cluster
└── Package into 5 synthesis bundles
Stage 3: Cross-Session Synthesis (~2 min, 5 parallel sonnet agents)
├── Narratives + Metaphors + Language
├── Decisions + Problem Framing + Biases
├── Avoidance + Energy + Execution Gap
├── Role Shifts + Developmental Markers
└── Blind Spot Detection
Stage 4: Output (~1 min, orchestrator)
└── Compile, save, link
~$3.50 per full run, ~6 minutes runtime.
development
--- name: agency-docs-updater description: End-to-end pipeline for publishing Claude Code lab meetings. Accepts optional args: date (YYYYMMDD, "yesterday", "today") and lab number (e.g. "04"). Examples: "yesterday 04", "20260420 05", "04" (today, lab 04), "" (today, auto-detect lab). --- # Agency Docs Updater Execute ALL steps automatically in sequence. Only pause if a step fails and cannot be recovered. Read `references/learnings.md` before starting for known pitfalls. **Configuration**: pat
tools
This skill should be used when applying proper typography to prose text or files in Russian, English, German, or French — smart quotes per locale («ёлочки», “curly”, „Gänsefüßchen“, « guillemets »), correct dashes (тире, em/en dash, Gedankenstrich, tiret), non-breaking spaces, ranges, ellipsis, and French espaces insécables before ! ? ; :. Fully deterministic via a pinned typograf-based CLI; never apply these rules by hand. Triggers on "типографика", "typograf", "оттипографь", "smart quotes", "fix typography", "неразрывные пробелы".
development
This skill should be used when inspecting or applying advanced OpenType features of a font (woff2/otf/ttf) — ligatures, stylistic sets (ss01–ss20), character variants (cvXX), texture healing, slashed zero, tabular/oldstyle figures, fractions, small caps, case-sensitive forms — and generating the CSS to enable them. Interviews the user via cenno to pick features. Triggers on "OpenType features", "font features", "stylistic sets", "ligatures", "texture healing", "tabular figures", "what can this font do".
tools
--- name: pre-session-portrait description: Build a compressed, visualizable "portrait" of a consulting/coaching client before a session, so the paid hour is spent solving, not scoping. Runs a 7-lens JTBD-inspired interview (where / how / what / problem / ideal / tension / jobs-to-be-done) that takes rich open answers in and compresses them to an 11-field YAML portrait out. Delivers three ways: raw paste-into-a-clean-chat prompt, a secret GitHub gist link, or a Codex CLI one-liner. Use when prep