AI agent self-correction mechanisms: error detection, validation loops, recovery strategies, confidence scoring, and iterative refinement
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AI agent self-correction mechanisms: error detection, validation loops, recovery strategies, confidence scoring, and iterative refinement
日本語の概要は準備中です。原文の説明を表示しています。
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when architecting new Claude Code agents following Anthropic best practices. Guides through YAML frontmatter creation, agent structure definition, role boundaries, and validation. Critical for creating minimal agent files (~150 lines) with proper skill invocations. Examples: <example>Context: User wants to create a new agent for security auditing user: "Create a security-auditor agent" assistant: "I'll use the agent-creator skill to build this agent following Anthropic best practices" <commentary>New agent creation requires the agent-creator skill to ensure proper structure and YAML frontmatter.</commentary></example> <example>Context: Existing agent file is too verbose and needs refactoring user: "The architect agent is 2000 lines, refactor it to minimal structure" assistant: "I'll use the agent-creator skill to refactor this into a minimal ~150 line agent with a separate skill file" <commentary>Agent refactoring requires the agent-creator skill to separate identity from technical procedures.</commentary></example>
日本語の概要は準備中です。原文の説明を表示しています。
Guide for adding new LLM models to Letta Code. Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update the model configuration. Covers models.json configuration, CI test matrix, and handle validation.
日本語の概要は準備中です。原文の説明を表示しています。
Create a structured session handoff when context is running low or work is pausing. Deep context mining, self-validation, multi-file splitting. Captures everything the next session needs.
日本語の概要は準備中です。原文の説明を表示しています。
Use the Crabbox wrapper for OpenClaw remote validation across Linux, macOS, Windows, and WSL2, including delegated Blacksmith Testbox proof. Report the actual provider and id.
日本語の概要は準備中です。原文の説明を表示しています。
Quality validation specialist covering functional, performance, and security testing to ensure production readiness through evidence-based testing.
日本語の概要は準備中です。原文の説明を表示しています。
Use the Crabbox wrapper for OpenClaw remote validation across Linux, macOS, Windows, and WSL2, including delegated Blacksmith Testbox proof. Report the actual provider and id.
日本語の概要は準備中です。原文の説明を表示しています。
Plan or implement migrations to MotherDuck with SQL translation, source-to-target validation, cutover, and rollback.
日本語の概要は準備中です。原文の説明を表示しています。
Build and review Remix 3 applications using the `remix` npm package and subpath imports. Use when working on Remix app structure, routes, controllers, middleware, validation, data access, auth, sessions, file uploads, server setup, UI components, hydration, navigation, or tests.
日本語の概要は準備中です。原文の説明を表示しています。
Maintain upstream OAuth identity-provider directive parsers, shared configuration dispatch, OAuth/OIDC discovery, GitHub identity claims, JWKS and static public PEM verification, EdDSA/Ed25519 token validation, key refresh, and real portal OAuth E2E tests. Excludes portal signing-key publication and gatekeeper-owned direct OAuth sessions.
日本語の概要は準備中です。原文の説明を表示しています。
Maintain upstream SAML identity-provider authentication, request/response browser binding, ACS and assertion validation, pinned signing certificates, and signed TLS/browser tests.
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Maintain conditional authentication challenge policies, reusable authchal and user-transform FromDirectives parsers, safe claim substitution, GitHub ID/organization transforms, registered-factor inventory, passwordless WebAuthn selection, verified AMR access claims, and policy revalidation across portal login, refresh, OIDC, and direct authentication.
日本語の概要は準備中です。原文の説明を表示しています。
Maintain refresh-token login evidence, MFA completion, sandbox redemption, immutable local identity, credential-version invalidation, transactional current-identity checks, and captured upstream provider snapshots in AuthCrunch.
日本語の概要は準備中です。原文の説明を表示しています。
Maintain optional cross-device portal login, its directive parser, QR and polling UI, approving-browser binding, single-use transfers, MFA and provider evidence, logout invalidation, and TLS/browser tests.
日本語の概要は準備中です。原文の説明を表示しています。
Integrate and develop AuthCrunch secrets plugins using the SQLite, static, and AWS Secrets Manager implementations. Covers exact APIs, resource binding, payload types, safe metadata, lifecycle, parser gaps, and consumer validation; excludes identity-store authentication and host-specific module implementation.
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Apply AuthCrunch coding contracts when creating, modifying, or reviewing repository code. Covers package ownership, dedicated configuration parsers, public APIs, validation, errors, logging, serialization, and security boundaries, and routes to the owning implementation skill.
日本語の概要は準備中です。原文の説明を表示しています。
Review changes in samples/book-app-web for accessibility, responsive layout, tests/build validation, and small beginner-safe changes.
日本語の概要は準備中です。原文の説明を表示しています。
Edit Specification: Use when the user wants to "edit" the SpecBook-based specification (SPEC) in one shot from a query, with optional grilling, SpecBook validation, looping, and Git worktree isolation.
日本語の概要は準備中です。原文の説明を表示しています。
Give your OpenClaw agent a homelab. Use when managing Docker containers, installing marketplace apps, or any Docker-related tasks on behalf of the user. Scope-based API key permissions — agent can only do what the key allows. On Linux, Docker requires sudo — without root access, WAGMIOS is the only safe interface for agent homelab control. Supports multi-machine management — one agent can manage multiple WAGMIOS instances across different hosts, each with its own scoped key. Requires X-API-Key header on every request (user provides at runtime). Includes Docker installation check and startup validation.
日本語の概要は準備中です。原文の説明を表示しています。
Plan changes to this repository using its domain CLI, MCP boundaries, and harness validation evidence.
日本語の概要は準備中です。原文の説明を表示しています。
Use for .NET test design and validation with xUnit v3, Moq, focused regression tests, command tests, service/manager tests, code generation tests, Roslyn helper tests, MiniDb isolation, HTTP stubs, temp directories, and deciding whether to run targeted tests or builds.
日本語の概要は準備中です。原文の説明を表示しています。
Prepare and publish Perigon.CLI patch releases, including versioning, release notes, bilingual docs, validation, and the nuget-branch CI handoff.
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Odoo-aware idea validation for deciding whether a module, addon, app, or product should exist before implementation. Use when the user wants to validate an Odoo module idea, check whether a solution already exists, assess usefulness or buyer demand, narrow a wedge, or decide whether an addon is worth building.
日本語の概要は準備中です。原文の説明を表示しています。