LLM Mart Basic
@llm-mart · Joined Jun 2026
ALWAYS use this skill in the beginning of any incident investigation, root cause
Use this skill when a name is not resolving as expected inside a VPC, or before applying a DNS control-plane change. Activate on symptoms such as NXDOMAIN or SERVFAIL from an EC2 instance, a hostname resolving to a public address when a private endpoint was expected, an AWS servi
Amazon Bedrock production readiness assessment covering IAM governance, data retention (ZDR), quota and capacity headroom, and operational observability across Standard Bedrock and Mantle surfaces. Use this skill when a user asks to review Bedrock readiness, assess Bedrock securi
Comprehensive Amazon Bedrock review aligned with the AWS
Guidelines for investigating production incidents in the CRM application. Use when triaging any alert or incident involving the CRM REST API, SQS queues, Lambda functions, or Aurora DSQL database in this AWS account. Ensures thorough root cause analysis using AWS-native observabi
AWS Database Migration Service (DMS) operational review and troubleshooting
Use this skill when a user asks to assess, plan, or validate an
Automatically load this skill when investigating application outages, service degradation, or errors that could have security-related root causes — including unexplained downtime, authentication or authorization failures, injection attacks, data exposure, or suspicious applicatio
Amazon MSK Provisioned operations, troubleshooting, and health
Comprehensive Amazon RDS and Aurora operational review aligned with the
Amazon Redshift domain expertise for query optimization, operational reviews, and cost optimization on provisioned clusters and Serverless workgroups. Use when a user asks about Redshift query tuning, slow queries, disk spill, distribution/sort key issues, a Redshift health check
Use this skill during any incident investigation, capacity planning, or
Skip low-priority incidents during a scheduled maintenance window.
S3 resiliency, security, and data protection review. Assesses one or many S3 buckets across nine dimensions — versioning, replication, object lock, encryption, block public access, bucket policy, ownership controls, server access logging, and static website hosting — using read-o
ALWAYS use this skill in the beginning of any incident investigation, root cause
Automatically load this skill when investigating an operational anomaly on a cloud resource - CPU or memory spikes, latency, elevated error rates, unexpected network traffic, crashes, or cost spikes - to determine whether it is a purely operational issue or a security incident, u
Maximum-efficiency dev mode. Terse, precise prose with zero fluff combined with YAGNI/ladder-first code decisions. One persona: the senior dev who deletes code for fun and bills by the syllable. Trigger: /chisle. Deactivate: "stop chisle" / "normal mode". Use when user says "chis
One-shot efficiency audit of a file, diff, or whole repo across BOTH axes at once: over-engineered code (reinvented stdlib, needless abstractions, speculative config) AND bloated prose (verbose comments, padded docstrings, redundant doc sections). Neither a pure code-minimizer no
Quick-reference card for Chisle commands. One-shot display, not a persistent mode. Use when the user says "chisle help", "how do I use chisle", "what chisle commands", or invokes /chisle-help.
Review a diff or file through the Chisle lens: flag over-engineering, speculative abstractions, reinvented stdlib, and verbose code that a lazier approach would shrink. One finding per line, no praise. Use when the user says "chisle review", "review this for bloat", or invokes /c
Fourteen posts of being wrong in production, compressed to checkboxes
Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds
Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.
Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.
A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.
A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.
None of the safety came from the model. It came from six boring habits.
Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.
Six hours in, one step left, everything green, and the incident that didn't happen
CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.
Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it
An API request routing a model's tool call through an approval gate to a remote MCP server
31 config keys, two audits, and why the first one was wrong in both directions
The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.
Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.
Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.
"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks
stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.
The most important rule wasn't about what I could change. It was about what I was allowed to display.
Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.
/entry-points
Entry points
Identifies state-changing entry points in smart contracts
/scan-apk
Scan apk
Scans Android APKs for Firebase security misconfigurations
/git-cleanup
Git cleanup
Safely analyzes and cleans up local git branches and worktrees, categorizing them as merged, squash-merged, superseded, or active work before deleting anything.
/audit
Audit
Audit a file, directory, or whole repo for insecure default configuration: fallback secrets, default credentials, fail-open switches, weak crypto, permissive access, debug leakage. Parallel sweeps collect candidates, then a refuting verifier traces each one to the security decision it reaches before it is reported.
/semgrep-rule
Semgrep rule
Creates Semgrep rules with test-first methodology
/README
README
This folder gathers the project's 9 slash commands in a single place, plus the sub-procedure files the [Sub-procedure Locations](#sub-procedure-locations) table rosters. **The harness lists every `.md` here as invocable regardless of `user-invocable: false`** (this README is itse
/wiki-discover
Wiki discover
Discover unexpected connections in the LLM Wiki (Memex serendipity).
/wiki-export
Wiki export
Export wiki to merged files for Claude.ai Project Knowledge.
/wiki-graph
Wiki graph
Build the LLM Wiki knowledge graph.
/wiki-ingest
Wiki ingest
Ingest a source document into the LLM Wiki.
/wiki-lint-theme-mapping
Wiki lint theme mapping
Not a slash command — a sub-procedure of [`/wiki-lint`](wiki-lint.md), reached from `contradiction theme --fix`. Invoking it directly runs nothing.
/wiki-lint
Wiki lint
Health-check the LLM Wiki for issues.
/wiki-news
Wiki news
Search for latest news related to the LLM Wiki's key topics.
/wiki-query
Wiki query
Query the LLM Wiki and synthesize an answer.
/wiki-timeline
Wiki timeline
Generate a chronological timeline for an entity or concept in the LLM Wiki.
/wiki-trail
Wiki trail
Create, follow, or list associative trails in the LLM Wiki (Memex trail-blazing).
/burn-rate
Burn rate
Compute the recent 7-day spend trend (burn rate) from daily sessions and per-session cost.
/cost-today
Cost today
Quick total cost plus a per-model one-liner from the dashboard pricing engine.
/top-spenders
Top spenders
List the top N most expensive Claude Code sessions by inline cost.
/audit-config
Audit config
Quick Claude Code config audit — counts per surface (user vs project) and totals.
AI assistant in Telegram that remembers everything and helps you run your life. Self-hosted in one command.
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