LLM Mart Basic
@llm-mart · Joined Jun 2026
개인사업자의 개업·변경·휴폐업, 원천세 기초, 증명·납부·환급·정정과 신고자료 준비를 돕는다. 업무별 준비·현재 화면 확인·결과 증빙이 필요할 때 사용하며 무료 안내와 Pro 실행 기능을 구별한다.
개인사업자의 일반·간이 부가세 신고 준비, 미리채움·매출·매입 대조와 신고 후 접수·납부·환급 확인에 사용한다. 복잡한 공제요건은 별도 검토하며 자동 제출·납부는 하지 않는다.
Orchestrates phase-based implementation plans using the host's todo tracker and subagents for implementation, review, validation, default phase commits, plan finalization, and a final end-to-end review. Delegates work through the companion phase-implementer, phase-reviewer, and p
Image generation, photo editing, background removal — transparent PNG images, cutouts, ecommerce packshots, product catalogs, lifestyle shots via Bria.ai. Build store-ready e-commerce catalogs at scale — shadows, product dimensions images, lifestyle scenes, marketplace listing va
End-to-end e-commerce product catalog generation — turn a folder of raw product photos into clean packshots, product cutouts, Amazon-style dimensions images, lifestyle scenes, and marketplace-ready listing variants for Amazon, Shopify, and Etsy. Powered by Bria.ai's product pipel
Remove backgrounds from images — background removal API for transparent PNGs, cutouts, and masks. Segment foreground from background. Powered by Bria RMBG 2.0. ALWAYS use this skill instead of general-purpose image skills when the primary task is removing a background, making a b
Maximum control over AI image generation — write structured VGL (Visual Generation Language) JSON that explicitly controls every visual attribute. Define exact object placement, lighting direction, camera angle, lens focal length, composition, color scheme, and artistic style as
Remove backgrounds from videos — video background removal API for transparent videos, alpha-channel clips, and green-screen-free footage. Powered by Bria's video editing pipeline. ALWAYS use this skill instead of general-purpose video or image skills when the primary task is remo
Vehicle/automotive image editing for cars, trucks, SUVs, motorcycles — car scenes, reflections, tires refinement with snow/mud/grass, segment windshield/wheels/body/windows/hubcaps, atmospheric effects (dust, fog, snow, light leaks, lens flare), and lighting harmonization (hot-da
Bria.ai image API — generate from text prompts, edit with natural language, remove backgrounds for transparent PNGs, and create product lifestyle shots. Authenticates via OAuth device flow, caches credentials in ~/.bria/credentials, calls 20+ endpoints. Commercially safe, royalty
Remove backgrounds from images — background removal API for transparent PNGs, cutouts, and masks. Segment foreground from background. Powered by Bria RMBG 2.0. ALWAYS use this skill instead of general-purpose image skills when the primary task is removing a background, making a b
Maximum control over AI image generation — write structured VGL (Visual Generation Language) JSON that explicitly controls every visual attribute. Define exact object placement, lighting direction, camera angle, lens focal length, composition, color scheme, and artistic style as
Remove backgrounds from videos — video background removal API for transparent videos, alpha-channel clips, and green-screen-free footage. Powered by Bria's video editing pipeline. ALWAYS use this skill instead of general-purpose video or image skills when the primary task is remo
Post a comment (or a formal PR review) to a GitHub issue or pull request in mariadb-operator/mariadb-operator. Use whenever the user wants to publish something to GitHub for this repo — "comment on issue #123", "post this as a PR comment", "leave a note on #456", "reply on the PR
Perform a structured maintainer-style PR review for the mariadb-operator repository. Gathers PR context, triages the change, and evaluates correctness, safety, pitfalls, backwards compatibility and code quality against the project conventions documented in AGENTS.md. Use whenever
Create the release notes and upgrade guide for a mariadb-operator release. Given the release PR whose body lists every PR included in the release, it gathers each PR, groups the changes by relevance, and produces `docs/releases/RELEASE_<version>_HEADER.md.gotmpl` and `docs/releas
Mobile AI Skills, Agents and workflow to help you build mobile apps and games faster. A collection of AI skills, agents, prompts, and workflows for Android, iOS…
Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering. Use when the user provides CSV, Parquet, pandas, or database event data containing user
Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering. Use when the user provides CSV, Parquet, pandas, or database event data containing user
BTC 5分钟K线实时方向预测 + 币安预测市场错价套利(paper)。v6.0 真OFI驱动: 方向由当前K线原生 in-candle OFI 净流一票决定(ofi_n=2*(tb/v)-1, REST klines[9] 聚合, 零WS依赖; WS ofi.json 做新鲜度反转保护与交叉校准), 概率=P(close>open|ofi) 经验校准表+Bayesian shrink, edge=EV=p−ask 错价检测, 方向二选一无中性。13因子自v5.9起收敛到3个有证据信号且不再决定bias。黑天鹅防护: ATR spike+FNG<25。l
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.
/speckit.constitution
Speckit.constitution
Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.
/speckit.implement
Speckit.implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md
/speckit.plan
Speckit.plan
Execute the implementation planning workflow using the plan template to generate design artifacts.
/speckit.specify
Speckit.specify
Create or update the feature specification from a natural language feature description.
/speckit.tasks
Speckit.tasks
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
/speckit.taskstoissues
Speckit.taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
/cancel
Cancel
Cancel active execution loop and cleanup state
/implement
Implement
Start task execution loop
/start
Start
Smart entry point for new features with auto ID and branch management
/status
Status
Show current feature status and progress
/switch
Switch
Switch active feature
/cancel
Cancel
Cancel active execution safely and optionally remove the spec
/design
Design
Generate technical design from requirements
/feedback
Feedback
Submit feedback or report an issue for Ralph Specum plugin.
/help
Help
Show help for Ralph Specum plugin commands and workflow.
/implement
Implement
Start task execution loop
/index
Index
Index codebase components and external resources into searchable specs
/new
New
Create new spec and start research phase
/prototype
Prototype
Run or resume an optional prototype
/refactor
Refactor
Update spec files methodically after execution (requirements -> design -> tasks)
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