claude

lstmemery-skills

Agent skills for real engineering: grilling, spec/ticket flows, TDD, dual-axis code review, domain modelling, source-grounded research.

1 on GitHubby Matt Emeryv1.0.0MITupdated 5 days agoengineering
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Plugin lstmemery-skills from marketplace lstmemery in lstmemery/skills. Commands read from the repo's manifest — 5 days ago.

What it installs

Skills (27)

  • code-review

    Review branches, PRs, fixed commits, or working changes against repository standards and the originating spec.

  • codebase-design

    Design module interfaces and test seams; find deepening opportunities or consult the shared design vocabulary.

  • deep-research

    Investigate broad comparisons, literature, landscapes, buy/build decisions, and high-stakes questions; use research for focused lookups.

  • diagnosing-bugs

    Diagnose bugs, failures, and performance regressions using an observed failure signal and targeted probes.

  • domain-modeling

    Resolve domain terms, scenarios, ownership, boundaries, context maps, and ADRs; routine vocabulary lookup stays in project docs.

  • grill-with-docs

    Sharpen a plan through an interview while recording resolved language and qualifying design decisions.

  • grilling

    Stress-test a plan, decision, or idea through a relentless interview when the user asks to be grilled.

  • handoff

    Compact a conversation into a durable, evidence-linked handoff for a fresh agent.

  • herdr

    Control Herdr panes, layouts, commands, and agents only when explicitly requested; requires HERDR_ENV=1.

  • implement

    Implement work from a spec or tickets, verify it, review it, and commit.

  • orchestrator

    Coordinate delegated coding, research, and everyday tasks across agent harnesses. Use for dispatch, supervision, human review handoff, resumption, or cleanup of delegated work.

  • pr

    Use when writing a PR body.

  • prototype

    Build throwaway prototypes to explore logic or state models, or compare UI designs.

  • research

    Answer focused questions from documents, APIs, or a few sources; route broad comparisons and high-stakes investigations to deep-research.

  • retro

    Review a named or current coding and orchestration session for evidence-backed improvements to an agent's environment. Use after a run with avoidable navigation, checking, steering, tool-use, access, delegation, or decision friction.

  • setup-matt-pocock-skills

    Configure a repo's issue tracker, triage vocabulary, and domain-document layout for the engineering skills.

  • shopping

    Research a concrete purchase or current offer. Use for exact variants, delivered costs, coupons or cashback, eligibility, or choosing what to buy; exclude recipes, outing recommendations, and research without a purchase decision.

  • tdd

    Use test-first development for features, fixes, and integration tests; test lists, tracer bullets, and red-green cycles.

  • teach

    Teach a skill or concept through a stateful seminar workspace.

  • ticket-readiness

    Review a specified ticket before implementation for current applicability, remaining acceptance, material assumptions, and directly related work. Use when a ticket-readiness, viability, or dependency assessment is requested; route existing-change standards/spec review to code-review.

  • to-spec

    Synthesize the current conversation into a reviewable product spec and publish it to the configured issue tracker.

  • to-tickets

    Split a plan, spec, or conversation into small, business-valued tickets with validated blocking edges and publish them to the configured tracker.

  • tutor

    Tutor through a learner-provided source text, using guided questions, adaptive hints, retrieval, and transfer.

  • wayfinder

    Map a large effort as shared decision tickets and resolve its route one session at a time.

  • wizard

    Generate Bash wizards for human-only setup, credentials, dashboard actions, migrations, or cutovers; handle agent-executable steps directly.

  • writing-for-agents

    Write and review documents that agents consume.

  • writing-for-humans

    Copy-edit human-facing prose for clarity, preserving meaning, evidence, uncertainty, voice, and requested format. Leave code, data, quotations, and user-specified wording intact unless their editing is requested.

View source on GitHub

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