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个人投资理财 (个人投资理财 (Personal Investing & Financial Planning) (从业者/自主投资者视角) — 个人与家庭自主管理投资组合、做长期财务规划的认知操作系统。覆盖: (a) 四大流派互掐 (本行业最有价值的智识谱系) — 价值投资 (Graham 安全边际 / Buffett·Munger 护城河+能力圈)、被动指数 (Bogle 成本至上+市场组合+定投)、技术分析 (趋势线/形态/动量择时)、趋势/动量跟踪 (CTA/双动量/turtle); (b) 资产配置与组合构建 — 股/债/现金/另类的配置框架 (60/40、全天候 All-Weather、三基金组合 three-fund、再平衡)、风险预算、定投 (DCA) vs 一次性; (c) 工具栈 — 券商/交易平台、组合追踪 (Portfolio Visualizer/Morningstar/雪球)、ETF/基金筛选与费率、回测、税优账户 (401k/IRA/Roth vs 中国养老 Y 账户); (d) 行为金融与风险管理 — 损失厌恶/过度交易/择时谬误、仓位与回撤管理、再平衡纪律; (e) 财务规划脚手架 — 应急金、目标-时间轴-风险承受度、退休/教育金规划、税务效率。主战场 = 美股/全球指数 (canon 母语区) + A 股/港股/公募基金 (zh-CN 散户层)。核心分歧: 主动选股 vs 被动指数 (是否能持续跑赢市场)、基本面 vs 技术面 (价格是否已反映信息 / EMH 强弱)、择时 vs 持有 (market timing vs time in market)、集中 vs 分散。不含: 持牌为他人理财的展业 (FA/RIA/投顾资质与合规销售)、机构资管/量化高频/对冲基金策略、投行/卖方研究、加密货币投机与 meme 炒作、日内打板/杠杆赌博式交易。) Master OS — automated mastery of 个人投资理财 (Personal Investing & Financial Planning) (从业者/自主投资者视角) — 个人与家庭自主管理投资组合、做长期财务规划的认知操作系统。覆盖: (a) 四大流派互掐 (本行业最有价值的智识谱系) — 价值投资 (Graham 安全边际 / Buffett·Munger 护城河+能力圈)、被动指数 (Bogle 成本至上+市场组合+定投)、技术分析 (趋势线/形态/动量择时)、趋势/动量跟踪 (CTA/双动量/turtle); (b) 资产配置与组合构建 — 股/债/现金/另类的配置框架 (60/40、全天候 All-Weather、三基金组合 three-fund、再平衡)、风险预算、定投 (DCA) vs 一次性; (c) 工具栈 — 券商/交易平台、组合追踪 (Portfolio Visualizer/Morningstar/雪球)、ETF/基金筛选与费率、回测、税优账户 (401k/IRA/Roth vs 中国养老 Y 账户); (d) 行为金融与风险管理 — 损失厌恶/过度交易/择时谬误、仓位与回撤管理、再平衡纪律; (e) 财务规划脚手架 — 应急金、目标-时间轴-风险承受度、退休/教育金规划、税务效率。主战场 = 美股/全球指数 (canon 母语区) + A 股/港股/公募基金 (zh-CN 散户层)。核心分歧: 主动选股 vs 被动指数 (是否能持续跑赢市场)、基本面 vs 技术面 (价格是否已反映信息 / EMH 强弱)、择时 vs 持有 (market timing vs time in market)、集中 vs 分散。不含: 持牌为他人理财的展业 (FA/RIA/投顾资质与合规销售)、机构资管/量化高频/对冲基金策略、投行/卖方研究、加密货币投机与 meme 炒作、日内打板/杠杆赌博式交易。: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on 个人投资理财 (Personal Investing & Financial Planning) (从业者/自主投资者视角) — 个人与家庭自主管理投资组合、做长期财务规划的认知操作系统。覆盖: (a) 四大流派互掐 (本行业最有价值的智识谱系) — 价值投资 (Graham 安全边际 / Buffett·Munger 护城河+能力圈)、被动指数 (Bogle 成本至上+市场组合+定投)、技术分析 (趋势线/形态/动量择时)、趋势/动量跟踪 (CTA/双动量/turtle); (b) 资产配置与组合构建 — 股/债/现金/另类的配置框架 (60/40、全天候 All-Weather、三基金组合 three-fund、再平衡)、风险预算、定投 (DCA) vs 一次性; (c) 工具栈 — 券商/交易平台、组合追踪 (Portfolio Visualizer/Morningstar/雪球)、ETF/基金筛选与费率、回测、税优账户 (401k/IRA/Roth vs 中国养老 Y 账户); (d) 行为金融与风险管理 — 损失厌恶/过度交易/择时谬误、仓位与回撤管理、再平衡纪律; (e) 财务规划脚手架 — 应急金、目标-时间轴-风险承受度、退休/教育金规划、税务效率。主战场 = 美股/全球指数 (canon 母语区) + A 股/港股/公募基金 (zh-CN 散户层)。核心分歧: 主动选股 vs 被动指数 (是否能持续跑赢市场)、基本面 vs 技术面 (价格是否已反映信息 / EMH 强弱)、择时 vs 持有 (market timing vs time in market)、集中 vs 分散。不含: 持牌为他人理财的展业 (FA/RIA/投顾资质与合规销售)、机构资管/量化高频/对冲基金策略、投行/卖方研究、加密货币投机与 meme 炒作、日内打板/杠杆赌博式交易。 problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「个人投资理财」「个人投资」「理财」「personal investing」「资产配置」

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GitHub 解封 — 账号封禁/限制/恢复的领域操作系统。覆盖：(a) GitHub 官方政策体系 (TOS / 可接受使用政策 / Trust & Safety 执行模式 / 公开申诉路径 / 受制裁地区解读)；(b) 封号原因诊断学 (spam / abuse / 制裁误标 / 2FA 丢失 / ToS 违规 / 账号劫持误判 / ban evasion 等子类型 + 症状→原因映射 + 自我分诊压测)；(c) 申诉实操 craft (写一封能让 T&S 快速判误伤的英文申诉信 + 升级阶梯 + 法务介入边界 + Don'ts)；(d) 制裁与合规硬边界 (OFAC SDN 名单 / 哪些国家或地区真不可达 / VPN 误判路径 / 中国大陆不是美国制裁地区的反复重申)；(e) 中国大陆开发者特别处境 (sanctioned region 误标 + SMS 验证不支持 +86/+852 + Gitee/GitLab/Codeberg/JihuLab 备用迁移 + 私有自托管 Gitea/Forgejo)；(f) 真实案例库 (~30+ 公开案例分类拆解：误伤 / 真违规 / 制裁误标三类各自赔率与申诉成功路径)。伦理锚绝不软化：不教 ban evasion / 不教撒谎式申诉 / 真违规承认改进 / 丢 2FA 无恢复因子则诚实告知 / 中国制裁误标靠申诉不靠换 VPN / 申诉 6 个月窗口必算清 / 约 3% (业内估) 真违规恢复 vs 约 79% (业内估) 误伤申诉成功率分层标。 (GitHub Account Reinstatement — the domain operating system for GitHub (and analogous platform) account suspension, restriction, appeal, and recovery. Covers: (a) GitHub official policy architecture (TOS / Acceptable Use Policies / Trust & Safety enforcement patterns / public appeals pathways / sanctioned-region interpretation); (b) suspension-cause diagnostics (spam / abuse / sanctions mis-flag / 2FA loss / ToS violation / account hijack false-positive / ban evasion taxonomy + symptom→cause mapping + self-triage pressure test); (c) appeal craft (writing an English appeal letter that gets T&S to fast-track a false-positive ruling + escalation ladder + legal-engagement boundary + Don'ts); (d) sanctions and compliance hard boundaries (OFAC SDN list / which countries/regions are truly unreachable / VPN false-positive paths / China is NOT a US-sanctioned region — repeated emphasis); (e) mainland China developer special circumstances (sanctioned-region mis-flag + SMS verification does not support +86/+852 + Gitee/GitLab/Codeberg/JihuLab fallback migration + self-hosted Gitea/Forgejo); (f) real-case library (~30+ public cases with categorized analysis: false-positive / genuine violation / sanctions mis-flag, each with win-rate and appeal success path). Ethical anchors absolutely not softened: do NOT teach ban evasion (creating new accounts turns a temp ban into a permanent one — the single biggest mistake); do NOT teach social engineering or lying in appeals (misuse + actually confirms violation); genuine violations: admit + improve beats denial; lost 2FA + no recovery factor → do not pretend recovery is possible; China sanctioned-region mis-flag → fix via appeal, not repeated VPN switching; appeal form 6-month window must be counted carefully; historical 约 3% (业内估) genuine-violation recovery vs 约 79% (业内估) false-positive appeal success rate stratification must be honestly labeled. Anti-samples (explicitly describe harm, never endorse): developer permabanned for ban evasion / open-source team org-banned for personal attacks in public issues / cases where repeated VPN switching escalated risk-control severity.) Master OS — automated mastery of GitHub Account Reinstatement — the domain operating system for GitHub (and analogous platform) account suspension, restriction, appeal, and recovery. Covers: (a) GitHub official policy architecture (TOS / Acceptable Use Policies / Trust & Safety enforcement patterns / public appeals pathways / sanctioned-region interpretation); (b) suspension-cause diagnostics (spam / abuse / sanctions mis-flag / 2FA loss / ToS violation / account hijack false-positive / ban evasion taxonomy + symptom→cause mapping + self-triage pressure test); (c) appeal craft (writing an English appeal letter that gets T&S to fast-track a false-positive ruling + escalation ladder + legal-engagement boundary + Don'ts); (d) sanctions and compliance hard boundaries (OFAC SDN list / which countries/regions are truly unreachable / VPN false-positive paths / China is NOT a US-sanctioned region — repeated emphasis); (e) mainland China developer special circumstances (sanctioned-region mis-flag + SMS verification does not support +86/+852 + Gitee/GitLab/Codeberg/JihuLab fallback migration + self-hosted Gitea/Forgejo); (f) real-case library (~30+ public cases with categorized analysis: fa

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。

Universal Web Scraper workflow skill. Use this skill when the user needs AI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

Universal Web Scraper workflow skill. Use this skill when the user needs AI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

Fans Claude work out over the Anthropic API from surfaces with no native subagents, chiefly claude.ai chat and projects, with parallel calls with a shared cached context, streaming, long-lived conversation threads with cached history, and named agent pools; also delegates to Gemini through the Cloudflare AI Gateway on any surface. Use for multi-perspective analysis, a panel of reviewers, or task decomposition from claude.ai, or for Python code that calls several Claude instances concurrently over the API.

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Exhaustive problem space exploration using the MIT Synthetic Neurobiology "tiling tree" method. Partitions a problem into MECE (Mutually Exclusive, Collectively Exhaustive) subsets recursively via parallel subagents, then evaluates leaf ideas against specified criteria. Use when users say "tiling tree", "tile the solution space", "exhaustively explore approaches to", "what are all the ways to", or request a MECE breakdown of a problem. Requires orchestrating-chat-agents skill.

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Installs and authenticates the GitHub CLI (gh) in a Claude.ai container, then runs gh commands against it. Use for "install gh", "gh auth", "create an issue or PR from the CLI", "gh is not authenticated", or any GitHub operation you want to issue as a gh command rather than a raw API call. This skill is the transport rather than the analysis. To understand what a repository does or contains, use exploring-codebases; to add a repo to the session, accessing-github-repos.

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Authors and caches a personalized container environment from a Dockerfile- like spec, as a single layer or as a composition of independently cached layers. Use when the user mentions "container layer", "Containerfile", "custom container", "cache my installs", "composable layers", "uv shim", or wants package installations, skills and environment config to survive an ephemeral session. Also for snapshotting, restoring or rebuilding that environment, and for capturing ad-hoc installs into a reproducible spec.

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Runs a multi-step procedure as a Python DAG, so ordering, branching and retries are enforced by the runner rather than described in prose a model can generate past. Use for "run these steps in order and retry the flaky one until the check passes", "build a pipeline that fetches, validates, then skips the upload when nothing changed", "make sure these steps cannot be skipped", "resume from where it broke instead of redoing the expensive early stages", "run these independent calls at once and merge the results", or any procedure of 3+ steps with branches, input contracts, or side effects that must not block the critical path. Primitives are depends_on, when=, validate=, retry_until=, detached= and journal_path=. Not for a single sequential call, for steps needing reasoning between them that no predicate captures, or for async and distributed work. To audit whether one verification check can actually go red, use gating. To fan work out across many subagents, use a dynamic workflow.

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Debug the AWF firewall by inspecting Docker containers (awf-squid, awf-agent), analyzing Squid access logs, checking iptables rules, and troubleshooting blocked domains or network issues.

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Decide and implement how to support a new LLM provider or agent engine in AWF - either as a proxied provider (api-proxy adapter) or a direct-API engine (domain allowlist only), e.g. Cursor, Aider, or any tool that calls its own endpoint.

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The parallel fan-out primitive. Routed to by any skill or command that splits work across independent units and dispatches an agent per unit — subagent-driven-development, /sprint, parallel /review. It owns the dispatch/collect/funnel discipline: bound concurrency, isolate units, collect every result, dedupe overlap, and funnel through finding-triage then the read-only verdict-aggregator. Raw agent output is never consumed before the funnel runs; an agent that errors records its unit as incomplete without corrupting the batch.

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, manage, and cleanup git worktrees with Claude Code agents across all projects. USE THIS SKILL when user says "create worktree", "spin up worktrees", "new worktree for X", "worktree status", "cleanup worktrees", "sync worktrees", or wants parallel development branches. Also use when creating PRs from a worktree branch (to update registry with PR number). Handles worktree creation, dependency installation, validation, agent launching in Ghostty, and global registry management.

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Generate cross-platform install scripts for any software or library — a standalone install.sh runnable via a curl/wget one-liner with OS, arch, and package manager detection. Don't use for Dockerfiles, CI/CD pipelines, or one-off shell scripts.

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Build and verify a HyperGrok trading desk from the pinned public release. Use for first-run setup, repair, or a readiness check. Starts with a live zero-key Opening Bell, installs the seven role profiles and seventeen shared skills, prepares the Trading Floor, and returns an evidence receipt. Read-only by default; never requests a wallet or places an order.

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Find new skills on GitHub or check a specific skill before installing. Use when the user wants to search for skills, evaluate a skill URL, check overlap and security risk before installing, or compare a local skill against alternatives. Trigger with '/janitor-discover'.

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Migrates Neo4j driver code and Cypher queries from older versions (4.x, 5.x) to current (2025.x/2026.x, Cypher 25). Covers Python, JavaScript/Node.js, Java, .NET, and Go drivers — package renames, removed APIs, version requirements, diff-ready fixes. Also handles Cypher syntax migration — QPE paths, CALL subqueries, id() → elementId(), PERIODIC COMMIT → CALL IN TRANSACTIONS, and all Cypher 25 removals. Does NOT write new Cypher queries — use neo4j-cypher-skill. Does NOT cover DB administration or server ops — use neo4j-cli-tools-skill. Does NOT provision new Neo4j instances — use neo4j-getting-started-skill.

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Prepare a meeting-ready alternative-investments brief for a client, household, IRA, trust, or named account before a review — pulls the alts book from iCapital or Addepar (positions, NAV vs. commitment, called and unfunded amounts, contributions/distributions/subscriptions/redemptions, lockups, and the platform's own IRR/TVPI/DPI/RVPI) and sits it beside the liquid book and IPS target from the connected portfolio system (Orion Connect, Addepar, or Envestnet), then flags cash needed for capital calls, alts % vs. target, concentration, unfunded concentration, and stale as-of data. Cites the source platform on every figure and keeps disclosures on the page. Does not recommend funds, forecast NAVs/IRRs, or simulate allocation changes. Triggers on "alts brief", "/alts-brief", "prep the [client]'s alts review", "what's going on with [client]'s PE/private investments", "how's [client] doing on their alts", or any request to review a household's alternative investment positions before a meeting.

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Product Hunt launch optimization with specific specs, timing, and gallery strategy. Covers taglines, gallery images, maker comments, and launch day tactics. Use for: product launches, startup launches, side project launches, Product Hunt optimization. Triggers: product hunt, ph launch, product hunt launch, launch strategy, product launch, startup launch, product hunt tips, product hunt gallery, ph optimization, launch day, product hunt maker

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Expert guide for defending AI applications against prompt injection, jailbreak attacks, indirect injection via tool outputs, and data exfiltration through tool calls — input sanitization, output filtering, canary token detection, and layered defense architecture / Panduan ahli pertahanan aplikasi AI terhadap prompt injection, serangan jailbreak, injeksi tidak langsung via output tool, dan eksfiltrasi data melalui tool calls — sanitasi input, filtering output, deteksi canary token, dan arsitektur pertahanan berlapis.

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Learns the words a user habitually writes to their coding agent that make its answers worse ("be 100% sure", "don't assume", "full review", "are you sure?", "all fine, right?"), from what they actually typed in their recent Claude Code sessions. Shows what each one does, what went wrong after it, and what to say instead, then writes the habit words block that maps each word to the checks it should trigger, so the checks run without the words. Use when asked to learn, read, refresh or review the user's habit words or prompts, "which of my words make you worse", from setup-first-pass's profile step, or when the start-of-session check says the habit words are due.

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Index a repository (local path or git URL) into Cognee's code graph and answer exact structural queries with no LLM calls: callers, dependencies, impact of changing a symbol, call paths, endpoints, re-index changes.

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Splits a coding task into independent parallel agent workstreams with disjoint write sets, explicit inputs and outputs, dependency ordering, and a merge/review plan. Use when several subtasks can proceed without shared mutable state. Not for tightly coupled edits, one failing root cause, or parallel changes to the same files.

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Holistic cross-GDD consistency and game design review. Reads all system GDDs simultaneously and checks for contradictions between them, stale references, ownership conflicts, formula incompatibilities, and game design theory violations (dominant strategies, economic imbalance, cognitive overload, pillar drift). Run after all MVP GDDs are written, before architecture begins.

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。