LLM Mart Basic
@llm-mart · Joined Jun 2026
Eliminates AI-generated writing patterns that erode reader trust. Use when writing or editing articles, docs, or press releases.
Public records requests under Brazil's Access to Information Law (LAI). Use for Fala.BR filings, e-SIC, and CGU/CMRI appeals.
Crisis communication and rapid-response workflows. Use when covering breaking news or coordinating fast fact-checking on deadline.
Acquire, clean, analyze, verify, visualize, and explain data for journalism. Use for reproducible data reporting, statistical analysis, maps, or public methodology.
Manages newsroom editorial workflows. Use when tracking assignments, managing deadlines, or coordinating editorial calendars.
Structured fact-checking workflow. Use when verifying claims for publication, rating claims, or setting pre-publication checks.
FOIA and public records workflows. Use when drafting requests, tracking submissions, checking exemptions, or appealing denials.
Interview preparation and recording-consent law. Use for research, question frameworks, one-party or all-party consent rules.
Transcription, recording management, and quote extraction. Use when processing audio/video or generating timestamped transcripts.
Email newsletter workflows. Use when creating newsletters, building subscriber lists, designing templates, or tracking engagement.
Enforces AP Style and newsroom conventions. Use when writing news, editing drafts, creating headlines, or tightening copy.
Embeds photo IPTC/EXIF/XMP metadata, caption, credit, alt text, license, AI-source label, GPS stripping, and C2PA credentials.
Social media monitoring, narrative tracking, and OSINT. Use when tracking viral spread, coordinated campaigns, or account vetting.
Verify sources, claims, images, video, documents, interviews, and synthetic media with SIFT and a durable evidence trail. Use before relying on uncertain material.
Crafts story pitches for different outlets. Use when pitching editors, writing query letters, or shaping feature or op-ed angles.
Builds an Open Knowledge Format (OKF) knowledge base from existing docs, notes, or a repo. Use to scaffold an OKF wiki.
Designs PDF reports and proposals from HTML with previews and branding. Use to create, export, or securely upload a PDF.
Creates print-ready HTML that exports to PDF. Use to make a proposal, report, one-pager, newsletter, slides, or flyer.
Generates CLAUDE.md project memory files that transfer institutional knowledge. Use when setting up projects or onboarding.
Generates LESSONS.md files capturing institutional knowledge and failures. Use when closing out projects or investigations.
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.
/setup
Setup
credo - Set up Claude Code with recommended workflows and plugins
/cleanup
Cleanup
dogma - Find and fix AI-typical patterns in code (reactive cleanup)
/docs-update
Docs update
dogma - Sync documentation across README files and wiki articles
/force
Force
dogma - Interactively collect and apply CLAUDE rules to the project
/ignore
Ignore
dogma - Add ignore patterns to multiple locations at once
/lint
Lint
dogma - Run project-specific linting and formatting on staged files (non-interactive)
/permissions
Permissions
dogma - Create or update DOGMA-PERMISSIONS.md interactively (Git, File, and Workflow permissions)
/sanitize-git
Sanitize git
dogma - Sanitize git history from Claude/AI traces and fix tracking issues
/sync
Sync
dogma - Intelligently sync Claude instructions from a source to the current project with interactive review
/versioning
Versioning
dogma - Check and fix version mismatches across all version files
/setup
gsd:setup
Install GSD resources into the active Claude config dir (${CLAUDE_CONFIG_DIR:-$HOME/.claude}/get-shit-done/) (required before using other GSD commands)
/uninstall
gsd:uninstall
Remove GSD resources from the active Claude config dir (${CLAUDE_CONFIG_DIR:-$HOME/.claude})
/cleanup
Cleanup
hydra - Remove already merged worktrees and their branches
/create
Create
hydra - Create a new Git worktree for isolated work
/delete
Delete
hydra - Safely remove a Git worktree
/help
Help
hydra - Show available commands and explain the concept
/list
List
hydra - List all Git worktrees of the repository
/merge
Merge
hydra - Merge a worktree branch back into current branch
/parallel
Parallel
hydra - Start multiple agents in parallel across worktrees
/spawn
Spawn
hydra - Start an agent in an existing worktree
Persistent session memory for AI coding agents — local-first, with on-device inference, associative recall, and drift detection. Works with Claude Code, Cursor,…
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