LLM Mart Basic

Work on better-data-plugin-test — the companion plugin

Add or modify DataObject subclasses inside the better-data library — the immutable, attribute-decorated DTOs the whole library is built around. Every DTO is final readonly class extends DataObject with constructor-promoted typed parameters; sources hydrate via ::fromArray, sinks

Modify how raw values become typed property values in

Extend the better-data Presenter — add a fluent builder

Apply better-data's security discipline when touching Secret, EncryptionEngine, #[Sensitive], #[Encrypted], MetaKeyRegistry::register, RequestSource guards, or user_pass handling. Loud-over-silent — missing key throws, tampered ciphertext throws, unknown strict-whitelist field th

Add a new sink to better-data — code that writes

Add a new source adapter to better-data — code that reads from a WordPress data store the library doesn't cover yet (comments, attachments, transients, custom tables). Mirror the canonical shape PostSource / UserSource / TermSource use — a non-final class with static hydrate(int|

Add a new validation rule to better-data — implement

Configure better-route 1.1 AtomicIdempotencyMiddleware for side-effectful POST, PUT, PATCH, or DELETE routes where concurrent duplicate execution must be prevented. Use for WpdbAtomicIdempotencyStore, lease-aware reservations, reservation_token schema migration, Idempotency-Key v

Configure Better Route 1.1 audit events and safe enrichment. Use when logging route outcomes, authenticated identity, hashed idempotency keys, trusted client IPs, domain action metadata, or ensuring telemetry failures cannot change API behavior.

Configure Better Route 1.1 authentication with JWT, custom bearer tokens, WordPress Application Passwords, or cookie nonces. Use when protecting routes, mapping verified claims to WordPress users, enforcing scopes, or consuming the shared AuthContext identity.

Configure better-route 1.1 CORS for browser, mobile, and embedded WordPress REST clients. Use for CorsPolicy, CorsMiddleware, WordPressCorsBridge, allowed origins/methods/headers, credentials, OPTIONS preflight, Authorization, X-WP-Nonce, Idempotency-Key, If-Match, If-None-Match,

Use Better Route 1.1 cryptographic helpers for secure random tokens, Hex/Base64/Base64URL encoding, strict Base64URL decoding, and constant-time secret comparison. Use when implementing nonces, state, PKCE, opaque tokens, or signature comparisons.

Produce and consume better-route 1.1 structured errors. Use for ApiException, Response, ErrorNormalizer, ResponseNormalizer, WP_Error conversion, OAuth RFC 6749 error_format, status/code/details/headers, Retry-After, validation_failed, idempotency/rate/optimistic-lock/Woo errors,

Add better-route 1.1 ETag and If-None-Match handling to GET or HEAD routes. Use for ETagMiddleware, strong or weak validators, custom etagResolver, WP_REST_Response preservation, comma-separated validators, wildcard matching, 304 responses, Cache-Control, proxy-stripped ETag trou

Configure Better Route 1.1 HMAC authentication for webhooks and server-to-server REST requests. Use when signing request timestamps, methods, paths, raw bodies, optional query strings, rotating key IDs, or consuming the shared HMAC AuthContext identity.

Configure better-route 1.1 replay-cache idempotency with IdempotencyMiddleware and Idempotency-Key. Use for ArrayIdempotencyStore, TransientIdempotencyStore, WpdbIdempotencyStore, installSchema, identity-aware canonical keys, body fingerprints, key conflicts, replay headers, key

Install better-route from Packagist or migrate a WordPress integration to better-route 1.1. Use when adding better-route/better-route, changing the Composer constraint to ^1.1, upgrading from 1.0 or pre-1.0 releases, diagnosing new 403 route responses, migrating atomic idempotenc

Configure Better Route 1.1 RS256 or ES256 JWT verification from a local or HTTPS JWKS. Use when integrating OIDC/OAuth bearer tokens, selecting keys by kid, validating issuer/audience/lifetime, or operating JWKS caching and refresh behavior safely.

Configure Better Route 1.1 trusted-proxy client IP resolution and CIDR allowlists. Use behind Cloudflare, nginx, load balancers, or reverse proxies when authorization, rate limiting, or audit data depends on the real client IP.

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.

Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

Close a finished session: sweep for unfinished work, ask once, land, file the follow-ups, hand off, tell the sessions that depend on this one, then archive.

Write the repository handoff file for the next session, and record any durable learning.

Merge an approved pull request, clean up its worktree and branch, then check whether a release is due.

Turn a topic or issue into a plan the reviewer approves in the native plan pane.

Answer a research question with parallel read-only gatherers and one synthesized digest.

Review the branch's diff in two fresh contexts — scope against the spec, then quality — and report findings only.

Audit infra security: secrets, deps, CI/CD, webhooks, AI/skill files

Audit Solana program code for exploitable bugs and write a findings report

Compare per-instruction CU with the stored baseline to catch regressions

Build the web client (Next.js, Vite, React) and check env, types and bundle

Build Solana programs (Anchor, Pinocchio, native), incl. verifiable builds

Build the Unity project in batchmode for WebGL, desktop, Android or PSG1

Turn a solana-ai-kit fork into a project: set up CLAUDE.md, remove kit files

Un-ignore and commit the kit config dir, instruction file, .mcp.json and .gitmodules

Replay a user's failing transaction on forked state and map the error to source

Deploy a program to devnet, or to mainnet after the user's explicit go-ahead

Review the branch diff for Solana security issues, CU waste and AI slop

Read-only check of toolchain and kit config, with one fix-it command per failure

Consolidate MEMORY.md and Project Learnings: dedupe, resolve conflicts, prune

Explain Solana code with a diagram and a step-by-step walkthrough

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.