Skill UI

Keeps task_plan.md, findings.md and progress.md on disk as durable working memory for multi-step AI-agent work, with hooks injecting context and safe state recovery. Use for research or tasks needing 5+ tool calls.

A persistent disk-based planning system for multi-step AI agent work. It stores task_plan.md, findings.md and progress.md on disk, and lifecycle hooks inject project planning context, making long research or 5+ tool-call tasks resumable and trackable.

Persistent file-based planning for multi-step AI agent work. Keeps task_plan.md, findings.md and progress.md on disk as working memory, with lifecycle hooks that inject plan context and resume state across sessions. Suits complex research or tasks needing more than five tool calls.

Fetches Google Docs body text and uses it as the Gmail message content so you can quickly turn a document into an email draft for newsletters or updates.

File-based persistent planning for multi-step AI agent tasks. Maintains task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic retrieval only reads project planning files. session-catchup.py --metadata, when explicitly requested, can inspect local metadata of sessions from the same project; --replay can emit limited and framed excerpts with nonce. Optional gated mode can only request the host to continue if it supports this and never executes commands declared in Markdown. The skill has no network loading path. Use for researc...

Reads and summarizes local text-based files such as Markdown, JSON, CSV, and source code, including quick type checks and smart tailing for big logs while skipping PDFs, images, and binaries.

A comprehensive skill for creating technical and scientific documentation using Markdown as the source format, enhanced by embedded Mermaid diagrams. This method establishes text-based diagrams as the canonical standard, ensuring that all visualizations are clean, editable, and highly readable in version control systems like Git. It is ideal for generating reports, architectural diagrams, workflows, and any content that requires cross-platform rendering and version history.

Generate professional, ATS-optimized CVs and resumes by consolidating data from multiple sources (LinkedIn, GitHub, Portfolio). This skill tailors your content to specific Job Descriptions (JD), adapts tone based on seniority, and outputs paste-ready plain text optimized for tools like FlowCV or Canva. It also provides a detailed ATS flaw report and actionable improvement suggestions.

This skill facilitates the systematic triage and closure of open promises or commitments within a project context. It guides the user to reliably close these commitments using verifiable, real-world outcomes via the acc_act(runtime="outcome") command. It emphasizes maintaining rigorous provenance discipline, ensuring that status updates are based only on external or runtime validated results, thereby maximizing data integrity and accountability.

This comprehensive guide details the mechanical conversion process for academic references, specifically moving from numbered, appearance-based citation styles (like Science/Nature) to the author–date style required by Cell Press. It covers in-text formatting, alphabetical reference list construction, full author list requirements, and common pitfalls when porting manuscripts between journals.

This sophisticated skill assists in-house legal teams with comprehensive legal risk assessment and classification. It uses a structured framework based on severity and likelihood, but critically, it enforces a rigorous three-step research methodology: adversarial searching for contradicting case law, systematic doctrinal web searches for context, and a temporal confidence check to ensure legal positions are current. It ensures that risk assessments are grounded in the most reliable and updated legal landscape.