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Structured Knowledge Capture for Notion

notion-knowledge-capture

ComposioHQ/awesome-codex-skills

A comprehensive workflow designed to convert unstructured conversational data, meeting notes, and ad-hoc decisions into highly structured, linkable entries within Notion. This tool ensures that all captured knowledge—whether an FAQ, a 'how-to' guide, or a formal decision log—is properly documented, categorized, and linked to maintain a cohesive, searchable knowledge base for easy reuse across teams.

Generating Research Paper Abstract

paper-abstract-author

opensquilla/opensquilla

This tool is designed to generate a concise and academically rigorous abstract for completed research papers. By taking the revised body, the function synthesizes the core problem, methodology, key results, and overall significance. It adheres strictly to defined style preferences, audience needs, and outputting a pure LaTeX fragment, ensuring the summary is accurate and professional.

Curating Sources for Academic Papers

paper-source-curator

opensquilla/opensquilla

This specialized tool is designed to curate and structure academic source material for long-form research papers. It takes paper topics, user preferences, search results, and bibliography entries as input. The output is a highly structured source pack, clearly identifying primary, supporting, and excluded sources, along with coverage notes to ensure research depth and methodological rigor.

Skill Proposal Management Tool

skill-creator-proposals

opensquilla/opensquilla

An internal utility designed to manage the entire lifecycle of meta-skill proposals within the opensquilla ecosystem. It allows developers to atomically write new skill proposals, list existing candidates, and formally accept them after passing rigorous gate checks (linting, smoke testing, E2E). This tool ensures structured and controlled deployment of new skills.

Offline Agent Self-Improvement Cycle

microsoft/SkillOpt

Simulates a 'sleep cycle' for AI agents by reviewing historical usage data, mining recurring tasks, and consolidating knowledge into permanent memory and skills. It uses a rigorous held-out validation gate to ensure that only validated, beneficial improvements are adopted, leading to measurable performance gains without direct model retraining. Ideal for scheduled, background optimization.

Spreadsheet Formula Helper

spreadsheet-formula-helper

ComposioHQ/awesome-codex-skills

This advanced helper assists users in writing, debugging, and validating complex formulas, pivot tables, and array functions for platforms like Excel and Google Sheets. It ensures formulas are robust by handling common edge cases (e.g., blank rows, mixed data types, time zone quirks) and provides detailed, worked examples. It also manages cross-platform dialect translation.

Go Stack Trace Debugging Probe

stack-trace-go-probe

opensquilla/opensquilla

An internal diagnostic tool designed for analyzing Go language panics and complex stack traces. It provides structured guidance, including Go-specific nil/error checks, minimal reproducible `go test` commands, and precise patch targets, enabling highly efficient root cause analysis and debugging for Go projects.

Rust Panic Backtrace Investigator

stack-trace-rust-probe

opensquilla/opensquilla

An internal helper designed for analyzing Rust panics and backtraces. It guides users to perform Rust-specific checks for proper handling of Option and Result types, generates minimal reproducible cargo test commands, and pinpoints exact patch targets for safe code improvements.

Support Ticket Triage and Response Drafting

support-ticket-triage

ComposioHQ/awesome-codex-skills

This tool standardizes the process of triaging and responding to customer support tickets, emails, or chats. It analyzes incoming text to identify issue type, product area, and severity, then categorizes the ticket, sets a priority level, drafts an empathetic response, and generates internal action items for efficient handling across platforms like Zendesk or Intercom.

Discover Similar Japanese NLP Tools

similar-resources

taishi-i/awesome-japanese-nlp-resources

This skill helps users find alternative, equivalent, or related tools for Japanese Natural Language Processing (NLP). By providing a specific GitHub repository URL, owner/repo name, or tool name (e.g., mecab, fugashi), the system mines a bundled dataset and performs advanced semantic scoring based on shared categories, labels, and tokens. It expands the search via web research to provide comprehensive alternatives.

Audit Fabric Tenant Governance Settings

audit-tenant-settings

data-goblin/power-bi-agentic-development

This skill provides a comprehensive governance audit for Fabric and Power BI tenant settings. It compares live configurations against a curated baseline to detect setting drift, analyze delegated overrides across capacities, domains, and workspaces, and investigate associated Entra security groups. It delivers authoritative, grounded, and actionable recommendations to ensure optimal enterprise governance.

Analyze Best Practices For Power BI Models

data-goblin/power-bi-agentic-development

An interactive skill designed to guide users through the process of generating, auditing, and improving Best Practice Analyzer (BPA) rules for Power BI semantic models. It follows a double-diamond discovery process, first gathering deep organizational context and model details, and then recommending tailored rules for validation, governance, and compliance.

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