「systems」の検索結果

Run a high-thoroughness end-to-end implementation loop using clean worker worktrees, per-slice planning, implementation, explicit review/fix iteration, orchestrator integration, and final commit/PR drafting. Use when the user explicitly wants a Ralph/Wiggum-style loop, autonomous multi-agent execution, a delegated feature/bugfix carried from confirmed scope through review-ready completion, or RFC-driven implementation that should be reviewed, bumped to In Progress, decomposed into phases, and executed through nested sub-loops. Supports Codex subagents by default and external CLI workers such as OpenCode when explicitly requested and available.

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。

Review user-facing docs, CLI reference text, examples, and scaffolds for truthfulness, prose quality, and RFC leakage. Use when a broad review needs a dedicated docs/claims pass or when the user asks for docs-truth review specifically.

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。

Review touched code for maintainability smells such as duplication, awkward indirection, suspicious clones, dead code, poor naming, and Boy Scout cleanup opportunities. Use when a broad review needs a dedicated maintainability pass or when the user asks for code-smell review specifically.

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。

Run the Incan review/fix loop end to end: review, fix actionable findings, and review again until clean or blocked. Use when the user wants an autonomous review-and-repair pass or says /review-and-fix.

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 implementation plans with TDD, documentation updates, and repository verification commands before coding. Use when the user asks for an implementation plan, /create-plan, or structured pre-implementation design for work in encero workspaces (e.g. Incan, IncQL).

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。

Safely close out completed Incan work after a PR is merged by verifying merge status, syncing the base branch, removing task-owned local worktrees/assets, deleting merged local/remote branches, pruning refs, and reporting dirty or ambiguous leftovers. Use when the user says /closeout, asks to clean up after a merged PR, or wants local RFC/issue branch/worktree cleanup.

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。

Add a new learning to the agent learnings file. Use when the user says /add-learning, asks to record a lesson, or when an implementation produced a reusable insight worth preserving for future agents.

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 whenever the user wants to find, shortlist, vet, or enrich US AI/ML/data consulting firms (consultancies) — AI/ML development, MLOps, generative AI / LLM apps (RAG, chatbots, agents), computer vision, NLP, recommendation systems, data engineering, BI/analytics. Triggers on "find an AI/ML consulting firm to build our recommendation engine", "shortlist three RAG/LLM consultancies for an enterprise chatbot", "compare three AI/ML consulting firms with strong ratings", or "pull contact info for these 8 AI consultancy domains", even when described indirectly (we want to use AI for X, deploy ML to production). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-software-developer for general app/backend work where AI is just a feature. Skip in-house ML/data hires, LLM/AI-tool comparisons (ChatGPT vs Claude), "how do I fine-tune X" DIY questions, AI courses for individuals, non-US firms, individual freelancers.

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。

Debug CI failures in unfamiliar repo pipelines. Reads CI configs, fetches failure logs, classifies the failure type, and guides the user through diagnosing and fixing the issue. Use when CI fails on your PR in an OSS repo, when you don't understand a CI error, or when debugging GitHub Actions/CircleCI/other CI systems. Not for setting up CI from scratch — this is for debugging existing pipelines.

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。

LLM brand manipulation — build a consensus web so ChatGPT, Claude, Perplexity, and Google AI Overviews mention your brand when people ask about your category. Uses surround sound methodology, entity SEO, and LLM citation science. Use when "get mentioned in AI", "LLM brand presence", "surround sound", "AI search visibility", "Perplexity ranking", "ChatGPT mentions", "AI Overview inclusion", "entity authority", "brand mentions in AI", or any request to influence how AI systems perceive and recommend your brand.

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。

Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.

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。

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for firmware images, partition tables, boot chains, update packages, extracted filesystems, embedded configs, and device-facing trust boundaries. Use when the user asks to unpack firmware, map partition layout, inspect bootloader or init chains, recover update keys or credentials, trace config loading, or explain how a device surface reaches the decisive artifact. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed 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 MemoryBench to run repeatable conversational memory and RAG benchmarks across providers, datasets, judge models, checkpoints, and structured reports.

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。

Automates incident response for AWS CloudWatch alarms using boto3, the CloudWatch GetMetricData API, and AWS Systems Manager runbook documents. Maps alarm states to diagnostic procedures and remediation actions.

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。

AutoGen is Microsoft's open-source framework for building multi-agent systems where AI agents converse with each other and humans to solve tasks, with support for tool use and human-in-the-loop 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。

Generates structured incident runbooks from AWS CloudWatch alarm configurations using the CloudWatch DescribeAlarms API and AWS Systems Manager documents. Links alarms to remediation procedures automatically.

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。

axe-core is the industry-standard accessibility testing engine by Deque Systems that automatically detects WCAG 2.0, 2.1, and 2.2 violations in web interfaces. It integrates into any existing test framework — Playwright, Cypress, Selenium, Jest — to catch accessibility issues during development rather than after deployment.

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。

Maps and transforms data between systems using Apache Camel route definitions and the Camel Component API. Supports XSLT, JSONPath, and DataFormat transformations via camel-core SDK.

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 support operations guidance for customer service excellence. Use when designing ticket management systems, creating SLA policies, building support tier structures (L1/L2/L3), optimizing knowledge bases, defining severity levels and escalation procedures, implementing support metrics (CSAT, FRT, TTR, FCR), configuring support tool stacks, or building support-to-CS feedback loops. Covers Zendesk, Intercom, Freshdesk, and help desk 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。

Expert growth product management guidance for SaaS applications. Use when designing growth loops, optimizing activation and onboarding, building retention systems, creating referral mechanics, running growth experiments, defining north star metrics, or implementing PLG strategies. Covers the full growth lifecycle from acquisition to monetization.

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 partnership marketing guidance for building and scaling partner programs, co-marketing campaigns, and channel ecosystems. Use when developing partner strategy, creating co-marketing content, designing partner tiers, building affiliate programs, positioning in integration marketplaces, enabling channel partners, planning joint webinars, or structuring revenue sharing. Use for technology partnerships, reseller programs, strategic alliances, and partner relationship management.

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 community-led growth and community management guidance. Use when building developer communities, Discord/Slack communities, online communities, managing community platforms, designing member onboarding, creating engagement programs, running ambassador programs, measuring community health, setting up moderation systems, or implementing DevRel strategies. Use for community-led growth, member activation, user-generated content programs, and community governance.

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 platform and API product management guidance for developer-focused products. Use when planning API product strategy, designing APIs, improving developer experience (DX), creating developer documentation, building SDKs, planning API versioning and deprecation, building developer communities, creating integration marketplaces, or measuring platform health. Covers REST, GraphQL, webhooks, and platform ecosystems.

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 sales enablement strategist for building high-performing sales teams. Use when designing sales training programs, onboarding and ramp plans, sales playbooks, coaching frameworks, certification programs, or competitive intelligence distribution. Covers content strategy, tool adoption, performance measurement, and continuous learning systems. Use for building sales academies, creating enablement content, and optimizing sales productivity.

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。