Query Neon Postgres databases and manage Linear issues directly in Claude, while leveraging agents to analyze business KPIs like MRR, CAC, churn via SQL and craft product strategies with market research and roadmaps.

Run a local Node.js MCP server to access Linear's issues, projects, cycles, and team data via API. Streamline project management workflows by querying and interacting with Linear resources directly from your tools using a LINEAR_API_TOKEN, with seven focused actions and no unnecessary features.

Automate full dev lifecycle: summarize branches and uncommitted work, generate conventional commits, create/triage GitHub PRs, polish code per guidelines, safely upgrade deps with pnpm/uv, extract action items from transcripts/Slack into Linear tickets, and produce handoff docs.

Implements Spec-Driven Development workflow: author/update ADRs and OpenSpec specs/designs, break into sprint issues on GitHub/GitLab/Jira/Linear, parallel-implement via git worktrees, automate PR reviews/merges against specs, audit codebase/spec alignment, build artifact graphs, generate Docusaurus docs.

Automate end-to-end git workflows with semantic commits, branch creation, and GitHub PRs; analyze repos to generate CLAUDE.md and detailed docs; research technical docs and APIs; refactor code for readability and simplicity; create specs from JIRA/Linear issues; optimize CLAUDE.md for AI models; coordinate multi-agent tasks.

Run AI agent skills as CLIs to orchestrate parallel code reviews across Claude and OpenAI on git diffs/PRs, synthesize findings, generate/verify plans as Linear issues, simplify code changes, define testing strategies for Swift/Python/TS, and check architecture/security.

Automate full-cycle feature development in Claude Code: describe features to generate PRDs, designs, ordered tasks; execute autonomously via TDD loops, git branches/PRs, AI reviews, pre-commit validation, and sync to GitHub/Linear trackers for merged code.

Enforce ticket-driven Git development by validating GitHub, GitLab, Jira, or Linear tickets in commit messages and branch names before commits; document project intentions, explorations, and learnings in structured INTENT.md files; apply guided workflows with GitHub Flow, Git Flow branching strategies, conventional commits, and PR templates.

Automate product management workflows by generating PRDs, OKRs, outcome-focused roadmaps, user stories, sprint plans, retrospectives, stakeholder maps, prioritization analyses, pre-mortems, release notes, meeting summaries, test scenarios, and realistic fake datasets directly from ideas, tickets, specs, or designs in your IDE.

Query your Context Engine knowledge graph from an agent using ctx-cli to investigate services and dependencies, compute blast radius of changes, search entities, manage Jira and Linear issues, and assess change risks for safer deployments.

Automate lean project management in Claude Code: plan/decompose Linear/Jira tasks, implement with React/NestJS/frontend/backend agents, sync progress across tools, manage git branches/commits/PRs, run verifications/tests/reviews, track states via 19 commands/agents/hooks.

Autonomously manage full software projects in Claude Code: interview to initialize with templates, decompose into 5-level micro-tasks, execute via budgeted agent loops with deep research/validation/audits, sync bidirectionally with GitHub Projects/Linear/Notion/Asana/etc., render ASCII progress dashboards, generate reports/retrospectives.

Automate a self-improving Zettelkasten workflow in Obsidian: capture insights from Claude sessions, web research, Linear tickets, and git repos into structured notes; consolidate cross-project memory; deepen notes with gap analysis; generate Excalidraw diagrams; triage inbox, assess vault health, and promote mature knowledge.

Automate go-to-market workflows: prepare sales meetings and demos with CRM data, generate marketing copy and personas, build competitive battlecards, create nurture sequences and case studies, manage customer lifecycles, and schedule recurring AI agents via Taizen integrations with Salesforce, Notion, Slack, Jira, and more.

Automate end-to-end social media content generation from Linear tasks: extract recurring themes from POA-5 to POA-14 stories, generate 25+ Twitter post/thread variations via parallel agents targeting cognitive biases and structures, score with Gap Selling/Cognitive Biases/Decision frameworks (max 30 points), review for accuracy/engagement, rank/select top ready-to-post piece in content-ready.md.

Automate end-to-end ticket-to-production workflows: ingest tickets from Linear or Jira, plan tasks, implement with TDD, create PRs, monitor CI via GitHub Actions or CircleCI, and validate deployments using customizable promptlet-driven phases with status tracking.

Automate end-to-end Linear ticket management: create tickets with duplicate checks and codebase context, triage backlog for duplicates/priorities/merges, plan implementations with git branch/PR sync, optimize descriptions, verify fixes via git history, and generate Gamma.app markdown slide decks for customer account reports.