15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
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15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user, inside an Orca terminal, asks Hermes to resolve, dispatch, orchestrate or supervise GitHub issues with Orca workers — 'orquestrar as issues 12, 15 e 18 no Orca', 'despachar as issues com label ready', 'coordenar workers do Orca para estas issues', or to resume such a Run after compaction. Do NOT use for a single unsupervised hand-off to another agent (Orca CLI directly), for working on one issue in this session (pwdev-feat feat-loop), or outside Orca.
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Super-skill for developing Haskell projects with cabal nix-style builds. Orchestrates HLS diagnostics, Haddock, Hoogle, source formatting, and cabal-gild into one workflow. Use when writing, editing, refactoring, building, typechecking, fixing compiler errors, renaming symbols, looking up APIs, or changing dependencies in Haskell projects. Treat cabal.project as the source of truth, prefer HLS before full builds, and prefer local docs over remote lookup.
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Orchestrate the migrate-prep cascade — extract --prep → direct --prep → prototype --prep → assets prep — with confirmation gates between phases. Builds the data structure migrate consumes.
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Orchestrate complete lifecycle work for the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration in AEM as a Cloud Service, from design and implementation through validation, release readiness, and incident troubleshooting.
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Orchestrates legacy AEM (6.x, AMS, on-prem) to AEM as a Cloud Service migration using BPA CSV or cache, CAM/MCP target discovery, and one-pattern-per-session workflow. Use for BPA/CAM findings, Cloud Service blockers, or fixes for scheduler, ResourceChangeListener, replication, EventListener, OSGi EventHandler, DAM AssetManager, HTL data-sly-test lint. OSGi configs → Cloud Manager — scan ui.config, .cfg.json, secrets, $[secret:]/$[env:] — agent follows references/osgi-cfg-json-cloud-manager.md when prompted. Transformation steps live in the best-practices skill—read it and the right references/ modules before editing code.
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Orchestrates end-to-end replication workflows spanning multiple concerns: new environment setup, production incident response, and performance optimization for AEM 6.5 LTS.
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Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to `agents-memory-updater`.
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COMPLETE BUG INVESTIGATION WORKFLOW — Combines screenshot + log reading into a full triage pipeline. USE FOR: any bug report that has both visual symptoms AND runtime errors, especially CompositePanel / ChildPanel mount failures, screen spec wiring breaks, or battle scene UI crashes. This is the master debugging workflow that orchestrates cocos-screenshot and cocos-log-reader together.
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Security audit orchestrator for agent skills — scans for prompt injection, data exfiltration, credential theft, supply chain risks, and instruction hierarchy violations before any skill is installed, created, improved, or read from a GitHub repo. Load when creating skills from external sources, when improve-skills reads from GitHub repos, when research-skill fetches community SKILL.md files, when a user installs a third-party skill, or when the user asks to audit skill security, scan for injection, check if a skill is safe, scan all skills, or run a security sweep. Orchestrates all secure-* skills in sequence. Content is SAFE only if ALL secure-* skills return SAFE. 36% of community skills contain flaws (Snyk ToxicSkills 2026). This skill is the first line of defense.
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Orchestrate persistent agent memory across coding sessions, repos, and tools. Load when the user asks to remember, recall context, save project memory, create a handoff, manage global memory, update memory, compact memory, audit memory, forget memory, continue from prior sessions, or before commit/push/git operations that checkpoint project state.
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Route user requests to the right skill, decompose complex work into parallel subagents, and manage project phase transitions. Load when the user asks "what should I do next", "which skill should I use", "orchestrate this", "run the full workflow", "split this into parallel tasks", or when a complex request spans multiple skills. Also triggers on "coordinate agents", "parallel execution", "task decomposition", "agent workflow", "what phase am I in", or when the user gives a broad instruction that requires multiple skills in sequence. This is the project's brain — it decides what runs, when, and whether to parallelise.
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Orchestrate one or more thinking frameworks to work through any problem, decision, document, or idea rigorously. Diagnoses which frameworks fit — inversion, pre-mortem, assumption-mapping, socratic, adversarial-hat — then guides the user through them in the right sequence. Load when the user asks for deep thinking, says "help me think through this properly", "apply your best thinking frameworks", "I need to think carefully before deciding", or "what thinking tools should I use here". Also the entry point for any complex problem where the right framework is unclear. Covers product decisions, engineering tradeoffs, personal decisions, strategy, creative challenges — any domain.
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AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
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Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.
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Orchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.
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Meta-skill that orchestrates the discourse skill suite: routes between steel-man-argument, socratic-questioning, toulmin-argument-analysis, logical-fallacy-detector, bad-faith-rhetoric-detector, discourse-elision-analyzer, forensic-speech-structure, and productive-discourse-facilitator. Use when analyzing conversations, facilitating discourse, or operating as a dialogue copilot. Maintains mode (silent analysis, coaching overlay, active facilitator) and decides which skills to invoke based on conversation dynamics.
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The intelligence layer of Jury-rig. Decomposes natural language tasks into proposed Hierarchical Task DAGs (HTDAGs), matches subtasks to skills, proposes wave and revision contracts, and expands nodes only when evidence supports a revised graph. Use for 'orchestrate', 'execute DAG', 'parallel agents', 'decompose task', 'coordinate skills'. NOT for single-skill tasks or simple linear workflows.
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Orchestrate the QA team through a full testing cycle — qa-lead strategy and test plan, qa-manual-tester case writing, execution, sign-off.
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Orchestrate the core feature team — lead-product-manager, backend-engineer, frontend-engineer, ai-engineer, qa-tester — design through implement and validate.
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Orchestrate the release team — release-manager, qa-lead, devops-engineer, delivery-producer — to execute a release from candidate to deployment.
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Orchestrate the authentication & access team — security-engineer, backend-engineer, frontend-engineer, qa-tester — auth, RBAC, multi-tenancy, sessions, and invites.
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Orchestrate the content & communication team — ux-content-strategist, copywriter, api-documentation-engineer, frontend-engineer — UX writing, API docs, transactional emails, and onboarding.
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Orchestrate the growth & acquisition team — growth-engineer, seo-strategist, copywriter, frontend-engineer, analytics-engineer — landing page, SEO, tracking, and viral loops.
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