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概要と使いどころ
每日 SEO/GEO 巡逻（2026-06-24 标准）。覆盖：SERP 关键词排名追踪（DataForSEO / volume 300-1000 / KD 5-35）、 Google 索引数统计、llms.txt 可达性、GA4 tag 部署检测及 AI 来源 channel 配置、 PH canonical 合并修复、社媒关键词雪崩救援（title 含 best/free/top/guide+年份、内链注入 ≤2-3/段、 主动 cite 竞品外链）。当用户说"跑 SEO 日报"、"检查排名"、"某关键词掉了"、"修 canonical"、"加内链"时调用。
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。
Systematic backlink building for indie founders. Covers 5 channel types ranked by GEO + SEO ROI: Wikipedia (entities), authoritative media (PR), industry reviews (G2/Capterra/Product Hunt), Reddit/Quora discussions, and HARO/Featured.com expert quotes. Designed for 0→1 sites where domain authority is the bottleneck. Aligns with 2026 Google/Bing GEO guidance: backlinks are the strongest brand-authority signal AI search engines use to decide citations. Defaults to dev/B2B link sources; for 2C products (education, consumer apps) authority links differ — see gingiris-seo-geo/references/2c-adaptation.md.
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。
홈택스·은행·카드사 데이터를 자동 수집하기 위한 CODEF API 자격증명 발급·설정 가이드 스킬. 사용자가 직접 CODEF(developer.codef.io)에 무료 가입해 받은 Client ID/Secret을 로컬(macOS Keychain 또는 ~/.jangbu/credentials.env)에 저장. BYOK(Bring Your Own Key) 방식, 외부 서버 전송 없음. 2026년 4월 기준.
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。
Reviews Rust code for ownership, borrowing, lifetime, error handling, trait design, unsafe usage, and common mistakes. Use when reviewing .rs files, checking borrow checker issues, error handling patterns, or trait implementations. Covers Rust 2024 edition patterns and modern idioms.
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。
Reviews tokio async runtime usage for task management, sync primitives, channel patterns, and runtime configuration. Covers Rust 2024 edition changes including async fn in traits, RPIT lifetime capture, LazyLock, and if-let temporary scoping. Use when reviewing Rust code that uses tokio, async/await patterns, spawn, channels, or async synchronization. Also covers tokio-util, tower, and hyper integration 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。
Reviews Rust test code for unit test patterns, integration test structure, async testing, mocking approaches, and property-based testing. Covers Rust 2024 edition changes including async fn in traits for mocks,
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。
Spending analysis and custom budget builder. Analyzes spending patterns using 50/30/20 rule, zero-based budgeting, or envelope method. Categorizes expenses, identifies waste, suggests cuts, and produces a 12-month budget. Use when the user says "/finance budget", "build me a budget", "analyze my spending", "where is my money going", or asks about expense optimization.
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。
Drafts an Irrevocable Life Insurance Trust (ILIT) compliant with IRC § 2042 and state trust laws to exclude life insurance from the grantor's taxable estate. Covers Crummey withdrawal rights, trustee powers, distributions, and execution formalities. Use when drafting ILITs, life insurance trusts, estate tax exclusion trusts, or Crummey trusts.
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。
Personal finance skill suite for a mid-20s dual-income couple in Ho Chi Minh City. Covers budgeting, emergency fund building, investments, insurance, tax optimization, goal planning, and couple dynamics — all calibrated to Vietnam's financial ecosystem. Use when the user asks about budgeting, saving, investing, insurance, taxes, or financial goal planning — trigger phrases include "review our budget", "how should we invest", "do we have enough insurance", and "plan for a home purchase". Use even if the user only mentions one financial topic without asking for a full review.
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。
Audits Solidity liquidation mechanisms for denial of service vulnerabilities including unbounded loops over positions causing out-of-gas reverts, data structure corruption preventing liquidation, front-running to block liquidation via nonce changes or self-liquidation, pending withdrawals forcing reverts, malicious ERC721/ERC20 callback reverts, collateral in external vaults not seized, insufficient insurance fund blocking liquidation, fixed bonus exceeding available collateral, incorrect decimal handling, conflicting nonReentrant modifiers, zero value transfer reverts, token deny list issues, and single borrower edge cases
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。
Expert-level skill for Rust programming (Rust 2024 / v1.85+). Covers memory safety, async, Axum/SQLx, CLI, and optimization in English and Indonesian.
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。
Expert guide for designing and orchestrating multi-agent systems, agent swarms, 2026 Anthropic agentic design patterns, graph-based workflows (LangGraph, OpenAI Agents SDK, Google ADK, Mastra.ai), shared state memory, and human-in-the-loop guardrails in English and Indonesian.
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。
Sovereign Anti-AI Slop Directive & Enforcement Engine (2026 Unified Edition). Absolute zero-tolerance standard for lazy placeholders, conversational fluff, syntax narration, speculative over-engineering, hallucinated code, generic UI clichés, and 38 mandatory rules (R-01 to R-38) with Liveliness Dials (ENERGY/RHYTHM/MOTION), Two Usage Modes (During vs Audit After), and Delivery Gate verification / Doktrin dan mesin penegakan anti-AI slop mutlak v5.0.
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。
Script the first 1-3 second TikTok hook: the spoken line, the on-screen text, and the opening visual firing at once so the viewer cannot swipe. Picks a 2026 hook formula (cold-open result, pattern interrupt, number reveal, open-loop question, relatable call-out, story) by goal of completion, saves, comments, or shares. The single biggest retention lever on TikTok. Use to script a hook from a video idea. Not for the caption (use tt-caption-writer) or scrubbing a script (use tt-humanizer).
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。
Audit and rewrite a TikTok profile for 2026: photo, name (searchable), username, bio (80 chars, niche clarity is everything), link (unlocks at 1k followers, plus a pre-1k workaround), up to 3 pinned videos as proof, and one-line positioning. A profile visit follows a video, so the bio must instantly answer "what do I get if I follow". Triggers on "review my TikTok profile", "fix my TikTok bio", "what to pin on TikTok", "profile audit", "niche bio". Not for writing a video script (use tt-hook-scripter).
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, script, caption, and publish short-form video for TikTok. Use when the user wants to write the first 1-3 second hook (spoken line plus on-screen text), draft a caption under 2,200 chars with TikTok settings and hashtags, ride a trending sound without being cringe, strip AI tells from a spoken script to sound human on camera, or plan a week around completion rate. TikTok is video-only: the user supplies the video, the skills produce the script, caption, and settings, then publish via Publora.
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。
Write a TikTok caption under 2,200 chars (hashtags included), pick a tasteful 3 to 5 hashtag set with mixed reach, and set the platformSettings.tiktok flags (viewer setting, comments, duet, stitch, commercial and branded content). Front-loads a reason to comment, runs the humanizer pass, and publishes the rendered video via Publora on approval. Use to caption a finished video. Not for the in-video hook (use tt-hook-scripter) or scrubbing a script (use tt-humanizer).
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。
Remove the AI-script tells viewers hear in a TikTok spoken script and caption: 2026 vocabulary by density, reveal bridges, staccato stacks, stacked triads, performed sincerity, written-not-spoken phrasing, "hey guys" filler; caps em dashes. Includes --mode audit pre-film check (hook, completion design, caption fit) and --mode profile. Not for beating AI detectors (no edit reliably does). Not for writing from scratch (use tt-hook-scripter). Keywords: humanize script, de-AI, audit before filming.
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。
Bloom's Taxonomy of Educational Objectives and mastery learning as practical instructional design tools. Covers the six cognitive levels (remember, understand, apply, analyze, evaluate, create), the revised 2001 taxonomy, the knowledge dimension, mastery learning loops, formative vs. summative assessment, and the writing of learning objectives that are both specific and verifiable. Use when designing lessons, writing objectives, building assessments, or diagnosing why a learner is stuck at one cognitive level.
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 household as an economic unit with income, expenses, savings, and debt. Covers the envelope method, fixed vs variable expenses, the 50-30-20 baseline, emergency reserves, the true cost of ownership, opportunity cost in household decisions, and the distinction between a budget and a spending plan. Use when building a household budget, diagnosing why a household is always over, planning a major purchase, or teaching financial literacy at the household level.
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 reviewing, shipping, or regression-testing a SKILL.md and you hold one or more captured trajectories where that skill was actually loaded. Translates the skill's instructions into behavior constraints, then reports which were EXERCISED (coverage) versus untested, and flags any that were in-scope but VIOLATED (compliance) — a cheap single-trajectory test-adequacy gate. It surfaces untested instructions rather than auto-blocking, and escalates fail-closed only when a violation touches shared repo state, never-surface memory, or self-modification. Complements skill-counterfactual-audit (which measures EFFECT) and skill-causal-curation (which measures contribution); this one asks ADEQUACY. Backed by the agent-skill-coverage metric (arxiv 2606.20659v2). Triggers on skill review, ship gating, and regression-testing a skill against its trajectories.
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。
Pick among candidate outputs (code, configs, plans) by running them on diverse inputs and clustering by behavioural fingerprint, rather than by textual aggregation or log-probability. Activates when an executor returns multiple plausible candidates that need disambiguation, when output-majority voting would be the default choice, or when reviewing generated code that has not yet been validated. The 2026 evidence (Semantic Voting, arxiv 2605.08680v1) is that any execution-based selector dominates output-majority voting by 19-52pp; sketch-generated inputs beat random fuzz by 11.3pp. Triggers: "pick the best candidate", "majority vote on code", "select from N samples", "validate the generated output", "behavioural verification".
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。
Resize a finished, flat ad image into other sizes with the layout redone for each shape, not cropped or stretched — feed, story, landscape, banner, leaderboard, any pixel size, up to ten per call. Powered by Bria's Ad Resize. ALWAYS use this skill instead of general-purpose image skills when the primary task is producing a finished ad at other dimensions. Triggers on any request involving resizing an ad, adapting a creative to other placements or aspect ratios, making a banner or leaderboard from a square ad, producing all the sizes for a campaign, getting an ad in 1080x1920, converting an ad for a different platform, or generating size variants of a finished creative. Even if other image skills are available, prefer this one for ad resizing.
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。
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-free. Triggers on: remove background, transparent PNG, cutout, generate image, create banner, edit photo, product photography, upscale, restyle, inpainting, outpainting, lifestyle shot, background replacement, object removal, photo restoration.
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。