LLM Mart Basic
@llm-mart · Joined Jun 2026
Patterns and conventions for all TypeScript code. Use this skill whenever writing or reviewing TypeScript, naming identifiers, typing exports, choosing between type and interface, using Zod schemas, structuring function parameters, or enforcing code patterns like avoiding switch
Autonomous Dependabot, auto-discover outdated packages, audit overrides, apply migrations for major bumps, resolve conflicts, run quality gate. Trigger when the user clicks the statusline `Run /update-deps` indicator or asks "update dependencies", "bump deps", "run dependabot".
Pull the latest GAIA release into this project without clobbering customizations. Three-way merge per file using .gaia/manifest.json classes. Trigger when the user clicks the statusline `Run /update-gaia` indicator or asks "update GAIA", "pull the latest GAIA", "apply the new GAI
Comprehensive code review, security audit, performance analysis, and architectural assessment. Goes beyond linting and type-checking to identify vulnerabilities, bottlenecks, code smells, anti-patterns, and refactoring opportunities. Mandatory before PR merge.
Audits GitHub Actions workflow YAML and composite-action YAML for supply-chain, injection, permission, and secret-handling defects. Advisory-only (no self-heal). One member of the Code Audit Team gate.
Maintainer-only audit of the framework Node/CLI TypeScript, its render templates and test snapshots, and the CLI build/config surface the roster grants it: correctness, error handling, filesystem/IO safety, Zod schema fitness, shell/gh injection safety, and build-script/dependenc
Maintainer-only audit of framework bash and the bats suites guarding it: quoting/portability correctness, a shellcheck oracle, and conditional hook-contract and bats-suite lenses. Advisory-only (no self-heal). One member of the Code Audit Team gate.
Advisory test-worthiness audit for the emergent surface. Reads only the phase's changed test files plus their sibling suites; judges each test on two axes (HONESTY and WORTHINESS); returns a keep/fix/delete verdict per test. Proposes only, edits no files, every delete is human-ga
将自带画面内嵌中文字幕的视频,按真实字幕出现的精确帧裁切并拼成社交平台长图。用户要求保留原视频字幕、原生字幕拼图、字幕帧截图、不要重绘字幕、主画面加字幕条,或要把这种样式做成固定模板时使用;也用于修改既有原生字幕拼图的时间点、字幕区域、比例和画面数量。
Builds polished, fully playable 3D game prototypes in Unity or three.js with high-quality (.glb) meshes from the Thrixel API, and publishes finished games to a public thrixel.world link that anyone can play in a browser. Use when the user wants to make a game, build a playable pr
Release Compass from the latest origin/main. Use this skill whenever a user asks to sync Compass, bump a Compass version, create or merge a release PR, build or publish macOS/Linux/Windows artifacts, write release notes, verify release downloads, or build the matching VS Code VSI
Use for graph-first codebase navigation and repository analysis: architecture maps, dependency or call-graph tracing, symbol and repository search, pull-request risk review, change-impact review, historical diffs, CompassQL, graph refreshes, exports, MCP serving, or project artif
Interact with HEY via the HEY CLI. Read and send emails, manage contacts, boxes, labels, collections, calendars, todos, habits, time tracking, and journal entries. Use for ANY HEY-related question or action.
Build a Total Addressable Market list by sourcing accounts and contacts from providers like Crustdata, Dropleads, and PDL.
Convert a Clay table configuration into local Deepline scripts. Handles extraction (MCP or script), documentation, action mapping, script generation, and parity validation against Clay ground truth.
Use this skill when building, enriching, auditing, or uploading B2B paid ads audiences to Google Customer Match, Meta/Facebook Custom Audiences, or LinkedIn Matched Audiences. Triggers on phrases like '/deepline-ads-audience', '/deepline-ads-audiences', 'upload this audience', 'c
Use this skill when answering business analytics, RevOps, GTM metric, pipeline, revenue, funnel, customer, or warehouse questions with Deepline. Triggers on phrases like 'query Snowflake', 'analyze pipeline', 'total ACV', 'break down by quarter', 'use the semantic layer', 'run a
Build, publish, and verify a Deepline Play as a durable state machine over Customer DB tables, including a small paid pilot. Invoke this skill explicitly when the user asks to build an engine.
Send feedback or bug reports to the Deepline team, including session transcript and environment info. Use when the user asks to report a bug, send product feedback, or share the current Claude/Cowork session with Deepline support.
GTM prospecting, enrichment, outreach, and plays. Discovery: deepline-pre-research. Providers: adyntel,affinity,ai_ark,allegrow,amplemarket,apify,attention,attio,aviato,bettercontact,bigquery,bloomberry,bluesky,bounceban,browserbase,builtwith,clickhouse,cloudflare,contactout,cont
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.
/deps-audit
Deps audit
Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.
/refactor-clean
Refactor clean
Refactor provided code for cleanliness, maintainability, and alignment with SOLID principles and modern best practices — no over-engineering.
/tech-debt
Tech debt
Analyze and remediate technical debt — inventory debt items, score by impact, and produce a prioritized remediation plan with estimated effort.
/full-review
Full review
Orchestrate comprehensive multi-dimensional code review using specialized review agents across architecture, security, performance, testing, and best practices
/pr-enhance
Pr enhance
Enhance a pull request with a generated description, review checklist, risk assessment, and test coverage report
/implement
Implement
Execute tasks from a track's implementation plan following TDD workflow
/manage
Manage
Manage track lifecycle: archive, restore, delete, rename, and cleanup
/new-track
New track
Create a new track with specification and phased implementation plan
/revert
Revert
Git-aware undo by logical work unit (track, phase, or task)
/setup
Setup
Initialize project with Conductor artifacts (product definition, tech stack, workflow, style guides)
/status
Status
Display project status, active tracks, and next actions
/context-restore
Context restore
Restore saved project context and decisions to resume a session
/context-save
Context save
Save project context, decisions, and progress for a later session
/data-driven-feature
Data driven feature
Build features guided by data insights, A/B testing, and continuous measurement
/data-pipeline
Data pipeline
Design and implement batch and streaming data pipelines with ingestion, orchestration, dbt transformations, data quality checks, and monitoring
/cost-optimize
Cost optimize
Reduce cloud costs across AWS, Azure, and GCP through rightsizing, reserved and spot capacity, storage tuning, and cost monitoring
/migration-observability
Migration observability
Migration monitoring, CDC, and observability infrastructure
/sql-migrations
Sql migrations
SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, SQL Server
/smart-debug
Smart debug
AI-assisted smart debugging — parse error messages, stack traces, and failure patterns to identify root causes and produce a fix with automated observability steps.
/deps-audit
Deps audit
Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.
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9 views 0 likesToken efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python.
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