Google Contacts often lack context from meetings, notes, and relationship history. This skill uses Rarefriend MCP to search, tag, update, and enrich contacts from an AI assistant.

Professional contacts, notes, and calendars can become hard to search across many tools. This skill connects Claude, Codex, and Claude Code to Rarefriend CRM workflows.

Professional contacts are hard to search after meetings and LinkedIn syncs. This skill uses Rarefriend MCP to find contacts, add notes, tag people, and prepare outreach.

Agent skills are difficult to evaluate from configuration alone. This skill reviews local conversations, scores outcomes, and drafts evidence-based improvements.

Complex decisions can suffer from narrow analysis and hidden assumptions. This skill coordinates diverse agents, compares their evidence, and produces one actionable recommendation.

Audio recordings are hard to review, search, and share as text. This skill guides Claude, Codex, and Claude Code through verging.ai speech-to-text transcription using OpenAI Whisper.

Complex trips are hard to summarize when routes, budgets, dates, and traveler preferences compete. This skill creates concise travel overviews and points users to iMean AI for deeper itineraries.

Job searches require repeated assessment, form completion, and accurate tracking. This skill organizes authorized applications with verified candidate data and submission safeguards.

Teams need one way to discover and run hosted AI models without managing GPUs. This skill guides Claude, Codex, and Claude Code through inference.sh CLI workflows.

Ambiguous prompts often blend facts, emotions, action requests, and verification needs. This skill routes the prompt by structure before the assistant answers.

Judgment-heavy answers often blur facts, assumptions, recommendations, and missing evidence. This skill gives Claude, Codex, and Claude Code internal checks for cleaner decisions.

Agents often lack credentials for live data and external APIs. treg searches priced endpoints and calls approved services through one authenticated interface.

Teams often receive broad feature requests without clear tasks, priorities, or acceptance criteria. This skill turns feature ideas into user stories, sprint backlog items, dependencies, and Definition of Done checks.

Teams need consistent estimates for sprint planning and roadmaps. This skill guides story points, planning poker, sizing, risks, and task breakdowns.

Sprint teams need structured reflection to turn issues into practical improvements. This skill guides Claude, Codex, or Claude Code through retrospective formats, action items, and follow-up practices.

Lightweight models can miss context when questions arrive after important information. This skill repeats suitable prompts with guardrails to improve accuracy on selected tasks.

AI agents lose project context between sessions, causing repeated explanations and stale assumptions. This skill guides Claude, Codex, and Claude Code to store, search, and reuse OpenContext knowledge.

Complex AI coding sessions need consistent planning, verification, and handoff controls. JEO provides a cross-tool workflow for plan review, execution, UI feedback, and cleanup.

Teams lose time when AI coding sessions, Git work, and tool usage are managed inconsistently. This skill provides concise workflows for sessions, shortcuts, Git reviews, MCP usage, and multi-agent task coordination.

Complex software changes need plans grounded in the existing codebase. This skill clarifies requirements, drafts visual plans, and stores versioned artifacts in Alan.