「form」の検索結果

Run this skill for Phase 3 of the evidence verification pipeline — the adversarial audit step. Use when you need to check the evidence data lake for bad data before ingestion: dead links, wrong URL formats (tree/ vs blob/), subjective wording ("elite", "high-quality"), stale migration notes, benchmark catalog misuse/vendor-claim leakage, or skills whose star evidence conflicts with classified evidence level. Triggers on phrases like: "audit the data lake", "adversarial check", "ev-adversarial-audit", "check for noise in evidence", "flag bad evidence", "run the audit phase", "quality check the by-type files", or any reference to Phase 3 of the pipeline.

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。

Top-level orchestrator for the Gaia Skill Tree evidence verification pipeline. Run this when you want to do a full evidence pass — collecting raw sources, verifying live GitHub star counts, running Phase 2B benchmark-source verification, adversarially auditing for quality/formatting issues, and checking that every URL is reachable — all in one coordinated sequence. Trigger phrases: "run the evidence pipeline", "full evidence pass", "verify evidence", "evidence verification pipeline", "run ev-pipeline", "check all evidence", "audit the data lake", "evidence quality sweep", "refresh evidence", "validate evidence sources". Also aliased as /evidence-verification-pipeline. Use the individual sub-skills (ev-collection, ev-star-verification, ev-adversarial-audit, ev-link-validation) only when you need to re-run one phase in isolation; for end-to-end work, always start here.

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 when the user wants to be taught an Anthropic product or feature - "teach me Claude Code", "learn Cowork", "academy lesson", "train me on MCP or the Claude API", "quiz me", "next lesson" - or asks for structured learning rather than a one-off answer. Covers Claude Code, Claude.ai, Cowork, Tag, Platform/API, and AI Fluency. Do NOT use for auditing how the user already works (use academy-review) or for mid-task help where the user just wants their task done.

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。

Generate Product Requirements Documents (PRDs) in Markdown format. Use when users want to create a PRD, spec out a feature, document requirements, or plan new functionality. Triggers on requests like "create a PRD", "write requirements for", "spec out this feature", or "document this feature idea".

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。

This skill provides guidance for using Playwright MCP for browser automation. Use when navigating web pages, interacting with web elements, taking screenshots, filling forms, running browser tests, or automating any browser-based tasks.

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。

Perform structured code reviews focusing on correctness, readability, security, and maintainability. Use this skill when reviewing pull requests, evaluating code changes, or establishing review standards for a team.

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。

This skill provides guidance for using Chrome DevTools MCP for browser debugging and automation. Use when debugging web pages, analyzing performance, inspecting network requests, viewing console messages, or interacting with Chrome DevTools features programmatically.

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。

Pull latest origin/main into the current local branch and resolve merge conflicts (aka update-branch). Use when Codex needs to sync a feature branch with origin, perform a merge-based update (not rebase), and guide conflict resolution best practices.

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。

This skill provides expert-level guidance for implementing VS Code WebView features. Use when creating WebView panels, implementing secure CSP policies, handling Extension-WebView communication, managing WebView state persistence, optimizing WebView performance, or debugging WebView rendering issues. Covers security best practices, message protocols, and VS Code-specific WebView patterns.

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。

This skill provides systematic bug detection and discovery capabilities for VS Code extensions. Use when searching for hidden bugs, analyzing code for potential issues, investigating suspicious behavior, performing code audits, or proactively finding bugs before they manifest. Covers static analysis patterns, dynamic analysis techniques, code smell detection, and systematic codebase investigation.

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。

This skill provides unified expert-level guidance for terminal implementation in VS Code extensions. Covers xterm.js API and addons, VS Code terminal architecture, PTY integration, session persistence, input handling (keyboard/IME/mouse), shell integration with OSC sequences, and performance optimization. Use when implementing any terminal-related features.

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 well-formed git commit from current changes using session history for rationale and summary; use when asked to commit, prepare a commit message, or finalize staged work.

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。

This skill provides guidance for using Brave Search MCP to search the web. Use when searching for current information, news, articles, local businesses, or any web content. Supports both general web searches and location-based local searches.

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。

This skill provides expert-level guidance for VS Code extension development. Use when implementing new extension features, debugging extension code, designing WebView UIs, implementing Language Server Protocol features, or optimizing extension performance. Covers activation events, contribution points, VS Code API patterns, security best practices, testing strategies, and publishing workflows.

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。

This skill enables web searching using Brave Search API directly via curl. Use when searching for current information, news, articles, or web content. MCP server not required - calls API directly.

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。

Performs fast first-pass triage of an unknown file to decide depth of analysis: file type identification, hashing, reputation lookup, packing/entropy check, and string review. Activates for requests to triage, classify, or do initial assessment of an unknown or suspicious file.

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。

Runs a sample in an instrumented sandbox to observe behavior: process tree, file and registry changes, network activity, and persistence, then summarizes the behavioral report into capabilities and IOCs. Activates for requests to detonate a sample, do dynamic or behavioral analysis, or interpret sandbox output.

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。

Extracts structure and indicators from a Windows PE file without executing it: headers, sections, imports/exports, resources, entropy, and embedded strings to infer capability and packing. Activates for requests to statically analyze a PE, EXE, or DLL, or inspect imports and headers.

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。

Prepares indicators of compromise for safe sharing: defanging URLs, domains, IPs, and emails so they cannot be accidentally clicked or resolved, and formatting them into STIX/CSV/MISP-friendly output. Activates for requests to defang IOCs, sanitize indicators for a report, or export indicators for sharing.

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。

Deobfuscates malicious PowerShell by decoding -EncodedCommand, reversing string and format obfuscation, resolving base64/gzip/IEX layers, and recovering the final payload and IOCs. Activates for requests to deobfuscate, decode, or analyze obfuscated PowerShell commands or scripts.

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。

Collects volatile evidence from a potentially compromised host in correct order of volatility: memory, network state, running processes, logged-on users, and open handles, while preserving integrity and minimizing footprint. Activates for requests to collect volatile evidence, perform live response, or capture host state before shutdown.

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。

Analyzes Java/JAR malware (such as Adwind/jRAT-class cross-platform RATs) by inventorying the archive, reading the manifest entry point, detecting obfuscators and string encryption, and flagging suspicious runtime, reflection, and networking class usage. Activates for requests to analyze a malicious JAR, inspect Java malware, or identify a Java RAT.

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。

Tend the Allium garden. Use when the user wants to write, edit, update, add to, improve, clarify, refine, restructure, fix or migrate Allium specs. Covers adding entities, rules, triggers, surfaces and contracts, fixing syntax or validation errors, renaming or refactoring within specs, migrating specs to a new language version, and translating requirements into well-formed specifications. Pushes back on vague requirements.

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。

The investigation harness for "why is this slow?" over a Pulp Perfetto trace (.pftrace). Runs the hypothesis→query→drill-down chain-of-evidence loop autonomously and returns a plain-English root cause + evidence + a concrete fix. TRIGGER on "why is my plugin slow to open", "find the slowest frames", "why is the UI stuttering", "why is my plugin using so much CPU", "which DSP node is expensive", "the load meter looks calm but CPU is pinned", or a named `pulp trace gpu-startup|gpu-health|gpu-probe` analysis. Ships Pulp-specific hints for dsp, frame, js, gpu, and cross-platform symptoms.

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。