LLM Mart Basic
@llm-mart · Joined Jun 2026
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Build and configure Cecil static sites, with focused guidance for content, templates, and site generation.
Deliver a change through an approved design contract, sequential implementation, independent review and exact-HEAD release. Use for any Bounded or Architectural change — including a small, one-line behavioral fix, which is the canonical Bounded case — so it gets design approval a
**ANALYSIS SKILL** — Analyze any repository and generate AI-ready configuration — a canonical AGENTS.md, thin per-tool pointer files, skills, CI workflows, issue templates. WHEN: "make this repo ai-ready", "set up AI config", "add copilot instructions", "prepare this repo for AI
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to"
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what's the architecture / which subsystems
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to"
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what is the architecture / which subsystem
Create, track and update team goals in Hivemind via the `hivemind` CLI. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what is the architecture / which subsystem
Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace
Comprehensive operational review procedures for Amazon Bedrock
Use this skill when diagnosing IAM and access failures for Bedrock and SageMaker. It traces the authorization chain — caller identity, iam:PassRole, trust policy, role permissions, resource policies, SCPs — to name the denying hop and propose a scoped policy. Read-only. Use when
Amazon OpenSearch Service domain health assessment. Performs read-only, API-driven checks against a customer's OpenSearch domain(s) covering cluster health, node/shard configuration, performance metrics, security posture, and cost optimization signals. Activate this skill for req
/check-async
check-async
Analyze Python async code for correctness, patterns, and potential issues.
/run-profiler
run-profiler
Profile Python code for performance bottlenecks using cProfile, memory_profiler, or py-spy.
/api-review
api-review
Evaluate public API surfaces against guidelines and exemplars.
/architecture-review
architecture-review
Principal-level architecture assessment against ADRs and design patterns.
/bug-review
bug-review
Systematic bug detection with language-specific expertise.
/full-review
full-review
Run a detailed review that picks its dimensions from what the codebase and diff contain.
/harden
harden
Active security hardening of the existing codebase, with a report and concrete proposals to apply.
/makefile-review
makefile-review
Audit Makefiles for best practices and portability.
/math-review
math-review
Intensive mathematical analysis for numerical stability and correctness.
/performance-review
performance-review
Static-analysis hot-spot review for time and space complexity.
/refine-code
refine-code
Analyze code quality across 6 dimensions (duplication, algorithms, clean code, architecture, errors, style) and apply fixes.
/rust-review
rust-review
Expert-level Rust audits for safety and correctness.
/shell-review
shell-review
Audit shell scripts for correctness, safety, and portability.
/skill-history
skill-history
View recent skill executions with full context and error details.
/skill-review
skill-review
Analyze skill execution metrics and identify unstable or underperforming skills.
/test-review
test-review
Evaluate and upgrade test suites with TDD/BDD rigor.
/control-desktop
control-desktop
Run a computer use task on the desktop via Claude's vision and action API
/acp
Acp
Stage changes, generate conventional commit message, commit, and push to current branch. One-shot git add-commit-push.
/commit-msg
Commit msg
Draft a Conventional Commit message for staged changes. Analyzes diffs, classifies change type, and formats scope/body.
/create-tag
Create tag
Create git release tags from merged PRs or version args. Pushes a v-prefixed tag to trigger the release pipeline, then confirms the run started.
Make any song you can imagine
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