Multi-agent software-engineering pipeline: a central Orchestrator dispatches Planner/Explorer/Coder/Reviewer/Arbiter/Executor spokes and a Scribe write-path service against one shared protocol.
9 agents
A three-tier model-cost hierarchy — an Opus-tier core orchestrator plans and routes, Sonnet-tier research/coding/review team leads decompose and synthesize, Haiku-tier workers execute narrow tasks.
Plugin tiered-team-orchestration from marketplace ai-personal in jean-tessier/ai-personal. Commands read from the repo's manifest — today.
core-orchestratorOwns the goal end to end; plans, decomposes into team assignments, and routes to tiered leads without touching files or commands itself
research-leadDecomposes a research question into narrow subtasks, fans out research workers in parallel, and synthesizes a structured brief
coding-leadSplits a scoped implementation assignment into non-overlapping file-scoped edits, dispatches coding workers, and meshes the result
review-leadFans out one review worker per dimension, adversarially verifies findings, and synthesizes a blocking-vs-nits verdict
research-workerAnswers one narrow research question by reading and searching the codebase, with no writes and no speculation
coding-workerMakes one file-scoped edit against explicit acceptance criteria, touching nothing outside its assigned scope
review-workerReviews one dimension over a given artifact and reports findings as location, defect, and failure scenario
Multi-agent software-engineering pipeline: a central Orchestrator dispatches Planner/Explorer/Coder/Reviewer/Arbiter/Executor spokes and a Scribe write-path service against one shared protocol.
9 agents
A two-axis orchestration lattice crossing model-cost team tiers (Opus orchestrator, Sonnet leads, Haiku workers) with T0-T3 tool escalation — Claude Code-native variant.
8 agents
Multi-session work loop: handoff.md carries state between sessions via resume-handoff/handoff-document, then ingest-handoff retires completed work into ADRs, docs/memory, and the handoff archive.
6 skills
Generate clean, atomic git commits from working changes with meaningful messages that explain why, not just what.
1 skill
Create a new Architecture Decision Record (ADR) in docs/adrs/
1 skill
Create or append a dated entry to a skill's CHANGELOG.md
1 skill
Collection of document processing suite including Excel, Word, PowerPoint, and PDF capabilities
19 skills
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
A suite of agent skills for the full GrowthBook feature flag and experimentation lifecycle.
4 skills
45 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator, API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor, skill tester, performance profiler, focused-fix, browser-automation, full-page-screenshot, git-worktree-manager, monorepo-navigator, codebase-onboarding, interview-system-designer, runbook-generator, spec-driven-workflow, secrets-vault-manager, env-secrets-manager, pr-review-expert, self-eval, tc-tracker, feature-flags-architect, kubernetes-operator, chaos-engineering, ship-gate, slo-architect (error-budget + multi-window burn-rate alerts per Google SRE Workbook), tech-debt-tracker, agent-regression-evals, coding-agent-rollout, commit-craft, agent-run-forensics and i18n-localization. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.
48 skills · hooks
Connect providers and targets, write eval suites, and set up or run red team scans with promptfoo
4 skills
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
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