Results for “improv”

Analyzes workflows to identify inefficiencies, bottlenecks, and optimization opportunities, providing a structured report with recommendations for eliminating, resequencing, parallelizing, and automating steps.

Optimizes agent context setup by structuring rules, specs, source files, error output, and conversation history to improve output quality.

Provides a rigorous thinking partner profile that challenges assumptions, calibrates claims to evidence, and improves decision quality under uncertainty.

Improve remote work effectiveness through structured daily practice, reflection, and frameworks for async communication, documentation, and self-management in distributed teams.

Rates an agent's own output on five axes — accuracy, completeness, clarity, actionability, conciseness — producing a structured scorecard with evidence and improvement suggestions.

Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Handles source capture, precision passes, authoring, registration, and validation.

Adopts the voice and reasoning methods of Aristotle to analyze problems, guide decisions, and improve communication through first principles, categorical thinking, and balanced moderation.

Analyzes meeting transcripts to uncover behavioral patterns, communication insights, and actionable feedback for improving communication and leadership skills.

Diagnose whether an AI workflow suffers from context stuffing or benefits from context engineering, and apply structured techniques to improve reliability.

Forces AI agents to investigate before editing or running destructive commands, improving code quality by requiring concrete facts like importers, data schemas, and user instructions.

Enrich CRM records with firmographic and contact data, filling gaps in company and person profiles to improve segmentation, routing, and outreach quality. Use when the user requests crm data enrichment or provides relevant inputs for this workflow.

Analyzes past agent sessions to identify recurring failures and skill gaps, then automatically creates or patches skills and runs self-evolution to fix them, tracking improvement over time.

Tighten annotations in existing Python code with a focused, low-churn workflow based on Honnibal's tighten-types skill. Use to improve changed files, remove avoidable Any, make container and return types precise, or reduce type-checker errors without broad refactoring.

Analyzes recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and sends a personalized growth report to Slack DMs.

This skill should be used when working with Obsidian files including .md notes with wikilinks/callouts/properties, .base database views with filters/formulas, or .canvas visual diagrams. Routes to specialized sub-skills based on file type and task context. Features self-iterative learning that improves with use.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Continuous self-improvement through systematic logging, pattern detection, and behavioral updates. Use when: the owner corrects you, a task fails, you discover a better approach, or you notice a recurring pattern. Store raw learnings in .learnings/, update the specific skill or workflow that caused the issue when appropriate, and avoid vague promises to do better.

Creates or updates a repo's CLAUDE.md by exploring the code and adding the standard workflow sections (git/PR rules, changes that require human review, non-obvious context). Use whenever the user is starting in a new repo, says "set up the CLAUDE.md", "onboard this repo", "there's no CLAUDE.md here", or asks to complete or improve an existing CLAUDE.md — or in Spanish "armá el CLAUDE.md", "iniciá este repo", "falta el CLAUDE.md acá". Also run it before the first time `plan` runs in a repo that has no CLAUDE.md yet.

Reduce an oversized SKILL.md by checking whether an existing skill already covers the excess sub-workflow before creating a new child skill only when none fits. Load when a skill exceeds 200 lines and compress-skill determines excess content is genuinely CORE, when the same sub-workflow appears in multiple skills, or when universal-skill-creator or improve-skills identifies a coherent sub-capability. Also triggers on "split this skill", "extract a sub-skill", "this skill is doing too much", or "make this skill reusable". Always checks for an existing home before creating a new skill.

Score, evaluate, and iteratively improve any content or strategy using an auto-assembled panel of domain experts. Handles copy, sequences, landing pages, strategy docs, titles, charts, recruiting evaluations, or anything else that needs a quality gate. Recursively iterates until all scores hit 90+ (max 3 rounds). Use when asked to: "expert panel this", "score this", "rate these variants", "quality check this", "panel review", "which version is better", "expert score", "evaluate this copy/strategy/page", or when another skill needs a quality gate on its output. Also triggers on: "score this landing page", "expert panel these email variants", "rate this headline", "panel these charts".