Total 57,657 skills
Showing 12 of 57657 skills
Prevent and remove generic AI-generated design defaults, incoherent visual choices, and established UI defects while creating, revising, or reviewing websites, apps, screenshots, mockups, and design code. Use as a passive quality gate during UI work or for an explicit anti-slop cleanup; preserve the chosen art direction instead of forcing a neutral redesign.
Audit websites, apps, screenshots, mockups, and design code for harmful AI-design clichés, generic generated defaults, and established UI defects. Use when the user wants evidence-backed design feedback, an anti-slop review, or a removal-first cleanup plan without a speculative redesign.
Fix a defect against the vendor's twin - reproduce the failure the issue describes through the repository's own code before designing, prove it closed through veris-proxy with a receipt, write the PR with what was verified and assumed. Takes an issue link or a prompt. Run when the engineer names this command.
Sets up and drives TencentDB Agent Memory (MemoryCore + MemoryHub + MemoryProxy + MemoryPanel, from AnEntrypoint/agent-memory) -- a persistent, cross-session memory and knowledge system for AI agents. Chat Memory (L0 conversation -> L1 atom -> L2 scenario -> L3 persona), a versioned Skill library extracted from past work, a Wiki + CodeGraph knowledge map over docs and code, and a human-controlled review panel. Use when the user wants an agent team to share and accumulate memory/skills/knowledge across sessions and across multiple agent frameworks (not just this one Claude Code session), when they mention "memory hub", "team memory", "chat memory", "skill library", "wiki", "codegraph", or ask to install/configure/troubleshoot the memory-tencentdb plugin, or when onboarding a new agent into an existing team's accumulated experience. As of gm's tencentdb_backend addition, this system's format can ALSO be gm's own memorize/recall/memorize-fire/memorize-prune backend for an opted-in namespace (see gm.config.json's memory.tencentdb_backend) -- when that's enabled, the verb surface an agent already knows is unchanged; only the storage target moves. Use this skill for the standalone deployment (Docker Compose, panel UI, team review) or when gm's own backend is not what's being asked about.
WFGY 5.0's core problem-solving tool. Lifts targets into higher problem-coordinates and returns structured routes (proof paths, strategy kernels, research structures, repair paths, positioning routes). Theorem work to everyday decisions. Use after Goal Compiler to execute the compiled problem specification.
The mandatory final handoff after a gm walk reaches phase=COMPLETE with prd_pending_count=0. Never end a gm session with prose alone -- dispatch this skill instead. It searches for genuinely remaining work and reloads gm if any exists; if gm already ran a full walk without resolving everything, it loads wfgy-method instead to apply bounded-retry-then-surface discipline before any further gm re-entry. Use immediately after any gm chain reaches its terminal state, never as a substitute for gm itself.
WFGY 5.0 Polaris Protocol -- the active flagship route from onestardao/WFGY. A two-layer reasoning system that compiles goals before execution and shoots complex problems into inspectable routes, with drift control throughout. This skill is the tree root: load it first, then dispatch its child skills as explicit transitions -- polaris-goal-compiler (compile), fifth-dimension-engine (shoot), wfgy-method (drift control). Use for any complex, multi-step, high-stakes, or long-horizon task where premature completion or goal drift is a risk.
A human-AI communication protocol layer that compiles goals into task atoms, active/blocked work, verification gates, and claim ceilings before execution. Part of WFGY 5.0 Polaris Protocol. Use before complex AI work to make it inspectable, harder to fake, and less likely to collapse into premature completion.
Build a zero-knowledge loan application on Midnight Network — privately evaluate credit score, income, and employment tenure inside a Compact circuit with Schnorr attestation, record only loan outcomes on-chain, and wire attestation API + CLI + optional Next.js frontend. Covers zkloan-credit-scorer.compact (witness-derived identity, tiered eligibility, PIN migration, admin governance), Jubjub Schnorr verification, attestation provider registration, and low-level deploy/call via 1AM wallet. Use for private credit scoring, attested witness data, lending dApps, or teaching disclose()/witness patterns with off-chain trusted signers. Triggers: ZK loan, credit scorer, attestation API, Schnorr signature Compact, requestLoan, private credit score, loan eligibility tiers, PIN identity, zkloan. Also use when extending leaderboard-dapp or locker-dapp wallet/provider patterns to multi-service monorepos.
Automatically prepare a complete Midnight development environment — Compact compiler, PATH, Docker, proof server, and VS Code extension. Use before building, compiling, or deploying any Midnight application when tooling is missing. Triggers: "set up Midnight", "install Compact", "proof server", "compact: command not found", "environment setup", "first time Midnight dev".
Create and maintain entire GitBook documentation sites end-to-end — design the site structure from source content, scaffold a Git repository in monorepo layout, set up the GitHub/GitLab remote, drive the GitBook API (via its REST API or MCP server) to create the site/sections/spaces, apply branded customization, and hand the user clean instructions for the one UI step (Git Sync wiring) that GitBook does not expose programmatically. Trigger this skill whenever the user wants to spin up a new GitBook docs site, restructure or extend an existing one, link spaces to a Git repo for sync, change a site's branding (logo, colors, fonts, header/footer), or programmatically manage spaces, sections, or site-spaces. This skill is the orchestration layer; for authoring the markdown content of any individual page it defers to the companion `write-docs` skill.
Pre-production code review against a user-chosen healthy point. Use whenever a user wants to review a branch before shipping, asks if code is ready to merge, wants blockers identified before a PR lands.