Engineering-manager skills for executing tracked work, with no fixed lifecycle. `scope` scopes one ticket (fetch, ground in decisions, read the touched code, ask only the questions nothing else can answer) and stops at a brief. `lead` takes any work reference, checks from the ticket body whether it is already shaped, picks an execution shape (inline, one worker, parallel workspaces, test-first), dispatches, and verifies every result by diff before a pre-push stop. Tracker-agnostic: Linear, Fibery, and GitHub Issues through per-tracker adapters, selected by the reference form or a repo-local `.em.toml`. Pairs with the pm plugin, which shapes the tickets em executes.
Plugin em from marketplace jdh-agents in jdh313/jdh-agents. Commands read from the repo's manifest — 2 days ago.
leadEngineering-manager mode: the user names the work (a ticket, several tickets, a milestone), and this skill decides how it gets executed, dispatches subagents, verifies their output by diff, and stops before anything outward-facing. No fixed lifecycle: a ticket that is already shaped goes straight to
scopeScope one ticket before any code is written: fetch it from whichever tracker it lives in (Linear, Fibery, GitHub Issues), ground in current decisions, read the touched code, ask only the questions nothing else can answer, and stop at a short brief. This skill should be used when the user invokes `/e
Curates, catalogs, retrieves, and maintains your library of notes and knowledge in an Obsidian vault. Workflow-shaped (Capture / Process / Retrieve / Maintain) and agent-mediated (skills draft, agents execute). 19 skills + 4 agents + 6 references, coupled to the vault conventions in ~/Loose Ends/.claude/rules/{wiki.md,catalog.md} and the Templater templates in ~/Loose Ends/Templates/.
19 skills · 4 agents
Software craftsmanship discipline skills: grill (the interview primitive — walk a design tree one question at a time, facts looked up by subagent rather than asked, no acting until shared understanding), grill-with-docs (that loop applied to vocabulary, against per-repo CONTEXT.md glossaries), diagnose, prototype, tdd, improve-codebase-architecture, grok (stateful multi-session codebase comprehension with supersession-aware understanding records), zoom-out (adapted in part from mattpocock/skills, MIT), infra-review (architecture/security review of Terraform+Atlantis PRs), quiz-me (opt-in active-recall comprehension check after a code explanation), interrogate-model (holistic representability review of a domain model — the legitimate scenarios and personas it cannot express), design-by-stories (design an artifact's shape — schema, template, data model, config — by modeling its actors and user stories first, then deriving the shape from the stories), and lucid-architecture-diagram (drive AWS cloud architecture diagrams in Lucid, including the two silent-failure modes of its API). derive-conventions (derive a repo's unwritten house style from its own code, adjudicate each inferred rule with the human, and write the approved set to CONVENTIONS.md so the review agents stop re-deriving it). wizard (author an interactive bash wizard that walks a human through the steps only they can perform — third-party dashboards, credentials, CI secrets, one-off cutovers — from a hardened template), resolve-conflicts (recover each side's intent from commits, PRs, tickets and NDR heads before resolving a merge, rebase, or jj conflict; detects git vs jj and follows that VCS's own mechanics), and wait-what (user-invoked: re-pitch a message that did not land, in Simplified Technical English using the repo's own vocabulary) — all three adapted from mattpocock/skills, MIT. screen-critique (critique a UI screen design in a fixed order — purpose against its neighbouring screens, then structure,
19 skills · 3 agents
ADHD-friendly productivity coaching: daily planning (/today, /energy), end-of-day capture (/checkin), weekly scheduling (/plan-week) and review (/weekly), life-direction reviews (/review), goal-to-project alignment (/align), project lifecycle (/intake, /breakdown, /reentry, /sunset), idea capture (/spark), brain dump (/dump), task triage (/triage), decision journaling (/decide), and pattern analysis (momentum, overdue-rescue) with adaptive tone calibration
16 skills · 3 agents
Personal SDLC scaffolding for AI-assisted development. A lightweight, ephemeral 'contract' between user and AI drives each code change from captured idea to verified done; the durable layer (CLAUDE.md, ndr atoms, README) lives elsewhere. Lifecycle: capture -> draft -> implement -> close.
7 skills · 2 agents
PM helpers for team Linear workflows. Skills for a PM-mode planning session (read the real state, slice work into cold-handoff tickets, confirm every write), single-ticket authoring (a short shaping interview, body composed to the shared issue-body spec), the weekly grooming loop (per-person WIP), plan-to-tickets breakdown (assignee-aware), chart-first mapping of efforts too large to plan in one session, questionnaires that pull a blocking decision out of someone else's head, and end-of-cycle retro notes (attribution + Linear-first output). Composes with the linear plugin; ndr and librarian integrations are optional externals.
7 skills
Interpret Klippain Shake Tune results for 3D printers: diagnose issues from PNG graphs, explain findings, recommend fixes, and track results over time. Supports belt comparison, input shaper, vibration profile, axes map, and excitation tests.
1 skill · 5 agents
Visual workflow automation with templates, orchestration, and lifecycle management
5 skills · 8 commands · 3 agents
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
Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
9 skills · 1 command · 8 agents
Claude Code native multi-agent orchestration with intelligent model routing across agents and skills. Zero learning curve. Maximum power.
85 skills · 20 commands · 19 agents · 1 MCP server · hooks
Web scraping, Google search, structured data extraction, and MCP server integration powered by Bright Data. Includes 7 skills: scrape any webpage as markdown (with bot detection/CAPTCHA bypass), search Google with structured JSON results, extract data from 40+ websites (Amazon, LinkedIn, Instagram, TikTok, YouTube, and more), orchestrate Bright Data's 60+ MCP tools, built-in best practices for Web Unlocker, SERP API, Web Scraper API, and Browser API, Python SDK best practices for the brightda...
21 skills
Use Codex from Claude Code to review code or delegate tasks.
3 skills · 8 commands · 1 agent · hooks
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