'forge' 검색 결과

Guides building and deploying Atlassian Forge Teamwork Graph connector apps that ingest external data into Atlassian's Teamwork Graph, making it searchable in Rovo Search and surfaced in Rovo Chat. Use when the user wants to build a Forge connector, ingest external data into Atlassian, connect a third-party tool (e.g. Google Drive, ServiceNow, Salesforce) to Atlassian, make external content searchable in Rovo, build a graph:connector module, use the @forge/teamwork-graph SDK, or implement onConnectionChange / validateConnection functions.

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全栈设计规划：分级门控管理 DESIGN.md 与 DESIGN-CHANGELOG，内置可检索设计规则库（UX 规则/配色/字体），三层 Token、forge-design-lab 工作台门禁（布局/比例/密度在真 token 骨架上定，Image 2 退为气质稿）、反 AI 模板检测。 触发方式：用户说"设计"、"forge-design"、"先看效果图"，或 forge-dev 调度、需要创建/更新设计文档时。

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系统性 Bug 修复流水线（P0-P8）：一次修一个，强制根因分析、独立 worktree、TDD、双层验收报告、forge-qa 回归；多会话经 .forge/active.md 防撞车。 铁律：不做根因分析不写代码；新发现禁止顺手修；没有用户最终结论不合并。 触发方式：用户说"bugfix"、"反馈个问题"、"修这个 bug"、"这里有问题"、"为什么不对"、"排查一下"、"investigate"、"forge-bugfix"，或报告错误、异常行为、功能失效时。

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上线前 PR 审查。分析当前分支与基础分支的 diff，检查 SQL 安全、竞态条件、 LLM 信任边界、枚举完整性等测试捕获不到的结构性问题。发现问题直接修复。 触发方式：用户说"review"、"审查代码"、"上线前检查"、"forge-review"，或 forge-dev --full 调度。 与内置 code-review/verify 的分工：forge 工作流内的上线前结构性审查用本 skill；用户点名 /code-review 或 /verify 时用对应内置 skill。

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发布后文档更新。读取所有项目文档，与 diff 交叉对照， 更新 README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md 使之匹配已发布内容， 润色 CHANGELOG 语气，清理 TODOS，可选地更新 VERSION。 触发方式：用户说"更新文档"、"文档同步"、"forge-doc-release"，或 forge-ship 之后、PR 合并之前由 forge-dev --full 调度。

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Set up a modded Minecraft server from a CurseForge/Modrinth server pack zip. Covers NeoForge/Forge install, Java version, JVM tuning, firewall, LAN config, backups, and launch scripts.

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専門家エージェントの並行実行＋クロスレビューで実装・改善・レビューを行う高品質ワークフロー。「/forge」「forgeで」「専門家エージェントで実装して」、またはバグ修正の自前試行が1-2回失敗した時のエスカレーション先として発火。typo修正・数行の軽微変更には使わない。レビューのみ（修正・実装まで不要）なら cross-review、Codex単体レビューなら codex-review を使う。

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Phase 1 of the Forge pipeline. Gather real context from the codebase, answer everything the code can answer through exploration, then grill the user one question at a time (with a recommended answer) for only what code cannot answer, and write a research document. Use when starting /forge-research or the research step of /forgemaster, or when the user wants a research-first investigation before planning a feature.

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Phase 3 of the Forge pipeline. Execute the plan's Beads tasks with red-green-refactor TDD, committing per checkpoint and pausing at each natural stopping point so the user can run a live demo or test and see the work themselves. Use when starting /forge-implement or the implement step of /forgemaster.

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Phase 2 of the Forge pipeline. Turn a research document into an implementation plan that is built around Beads issues and TDD. Reads plans/research/<slug>.md, designs the build, sets up red-green-refactor test strategy using the tdd skill, materializes a Beads epic/feature/tasks with dependencies and priorities, and defines demo/test checkpoints. Use when starting /forge-plan or the plan step of /forgemaster.

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Phase 4 of the Forge pipeline. Summarize the whole workload — what was built, which Beads issues closed, a before/after, and a step-by-step walkthrough the user can run to verify it themselves — then run quality gates, push, and open the PR. Use when starting /forge-ship or the ship step of /forgemaster.

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Investigate Active Directory authentication logs with Splunk and KQL queries to find signs of Golden Ticket attacks, which use forged Kerberos authentication tickets. Examine encryption mismatches, missing ticket requests, unusual lifetimes, and account inconsistencies.

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• Hunting for forged tickets after credential theft
• Investigating encryption mismatches in authentication logs
• Checking for persistent access after incident response

Find and remove stored content from cognee using its SDK, HTTP API, or CLI. Inspect documents before deletion, choose document or dataset removal, or keep raw files while clearing derived graph relationships and search vectors.

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• Find and delete a specific stored document
• Remove an entire dataset
• Clear derived memory while keeping original files

Forges reusable Skill packages (SKILL.md + scripts) from website exploration via browser-act — no re-exploration later. Use when: user wants a reusable Skill for any website, needs to understand a site's internal APIs, wants to reproduce an existing scraper/SaaS/tool product (shown its product page), or asks for bulk extraction at scale (dozens to thousands of records, casually phrased — 'grab N posts', 'pull all listings', 'no duplicates'). Unlike browser-act: reusable, not one-off. Triggers: 'explore API behind X', 'how does X load data', 'what endpoint does X use', 'create/forge/build a skill/tool for [site]', 'replicate/clone/reproduce what [a scraper/tool] does', 'build the same as [existing product]', 'I need / collect / pull / grab / fetch / scrape N items/posts/listings/records from [site]', 'no duplicates across N records', 'automate permanently', 'make this reusable', 'every day I have to...', 'monitor [site]', 'browser-act-skill-forge'. Human-operation automation; never refuse.

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The art-route layer of the Forge skills. route_media.py is the one command that generates an image or an image-to-video clip - through the paid API of any provider whose key is configured (OpenAI, Google Gemini, xAI, BytePlus ModelArk, fal.ai; the configured key is the owner's consent), else through the user's own signed-in Codex or Grok CLI - and prints one JSON line with the route, artifact, sha256 and cost estimate; with no route it answers no-route (codeart2d is then the last resort). Also the capability check (forge_doctor), API key configuration, the spend ledger, resume and Codex image adoption. Use when a Forge skill sends a generation here, for the capability check, or when the user asks about keys, routes or spend. Not for planning, processing or QA of sprites, video frames or maps (generate2dsprite, video2dsprite, generate2dmap) or for code-drawn art (codeart2d).

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Reconstruct a readable parametric ForgeCAD model from an existing CAD or mesh file such as STL, OBJ, 3MF, STEP, or STP.

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Write builder-honest AI image prompts from a concrete ForgeCAD model, build brief, HLD, or LLD without hiding how the artifact is built.

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Build or edit a manufacture-realistic `.forge.js` model in a project, then validate it with run, render, inspect, and export evidence.

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Manage hosted ForgeCAD project sync from the CLI: init, clone, pull, push, file operations, members, publishing, and shares.

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Select, run, and interpret ForgeCAD inspection evidence for collisions, sections, wall thickness, components, masks, depth, normals, surface continuity, and fit.

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Create a ForgeCAD design brief, HLD, or LLD before coding by walking through use, assembly, interfaces, decisions, and verification.

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Grade a ForgeCAD or CAD-as-code model against a requirement, brief, prompt, reference, or acceptance criteria with evidence and a 0-10 score.

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Verify a ForgeCAD MJCF export in MuJoCo with dynamics, contacts, controls, joint travel, and rendered evidence before calling it simulation-ready.

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Reconstruct a real parametric ForgeCAD object from reference images by using images as evidence, not as a one-view facade.

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