Add a new AI model to a provider (anthropic, openai, groq, cerebras). Use when a new model is announced and needs to be supported in aico.
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。
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概要と使いどころ
Add a new AI model to a provider (anthropic, openai, groq, cerebras). Use when a new model is announced and needs to be supported in aico.
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。
[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.
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。
Test an uncertain Anabasis v2 path at the smallest real layer that can decide it, before a paid round is asked to: one fact from a log or a dry run, a walk of one value across the layers a change touches, a replay of every recorded log through this tree's readers, a whole round rehearsed on a seeded copy of a campaign with a script in each model seat (`bun run runs seed`, `bun run runs rehearse`), or one live seat from a seed. Use when the operator asks whether a change will work in the real system, to simulate or rehearse a round, to stand again in a position a past run stood in, what a campaign of a given size can read, or what a kill or a stop leaves behind. Not for reading a finished run (whole-run-investigation) or starting a paid one (run-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。
Read-only runbook for how the VNX fabric actually works — state resolution, the single-entry dispatch door, gate invocation, the horizon planning layer, the plan-gate panel, and the hard gotchas that repeatedly bite (PATH-break, dual-CLI, codex-cert, classifier-protected actions). Use when you need to look up a fabric operation instead of rediscovering it, or when a fabric command behaves unexpectedly. Companion to the t0-orchestrator skill (judgment) and vnx-manager (infra maintenance); this one is pure reference.
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。
개인 프리랜서·1인 사업자와의 용역 계약서 자동 작성 스킬. 민법 위임·도급 규정, 3.3% 원천징수, 지식재산권 귀속 조항을 반영한 프리랜서 계약서 초안 생성.
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。
Decompose a task into safe parallel sub-agent slices with explicit ownership, optional worktree isolation, per-worker plans, verification, and orchestrator-led integration. Use when the user explicitly asks for delegation, sub-agents, or parallel work and the task can be split into non-overlapping scopes.
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 a change against issue, RFC, branch, and user-request scope. Use when a broad review needs a dedicated scope/completeness pass or when the user asks whether the implementation actually matches the intended surface.
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 and write tests for the Incan compiler. Use when the user asks to test changes, add tests, run the test suite, verify a feature, or says /test. Guides test selection, provides correct patterns, and runs the right commands.
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。
Detect, triage, de-duplicate, and raise compiler bug reports when an agent encounters a likely compiler defect during implementation, review, testing, or issue work. Use when a task surfaces an ICE, panic, wrong accept/reject behavior, miscompile, lowering/emission bug, diagnostic bug, formatter/LSP/frontend drift, or other likely compiler/tooling defect; pause current work, minimize the repro, decide whether the bug blocks the task or has a valid workaround, check whether it is already reported, and then use create-github-issue to raise the bug.
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 Incan source for Python-quality readability, idiomatic Incan structure, dogfooding integrity, public API polish, and source-level anti-patterns. Use for `.incn` stdlib, examples, language-surface implementations, or when the user asks whether Incan code reads like well-written Python rather than Rust-shaped scaffolding.
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。
Orchestrate a broad Incan review using specialized reviewer roles, parallel slice reports, and a canonical merged review report. Use when the user asks for delegated review, multi-agent review, or when a broad dirty worktree should be reviewed by specialized passes rather than one generic reviewer.
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。
Says hello world. Use when the user asks to create a simple hello world example or test.
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 tests and test-adjacent code for style, Result-returning patterns, panic helpers, unwrap/expect use, and obvious coverage gaps. Use when a broad review needs a dedicated test pass or when the user asks for test-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。
Report which local git worktrees under tmp/ are safe to close, need a human look, or are explicitly protected. Use when the user says /fleet-audit, asks what worktrees can be cleaned up, or wants a status check across all Ralph-loop/spike worktrees before running closeout on any of them.
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。
Prepare to work on a GitHub issue or RFC. Use when the user says /start-work, asks to start an issue, begin an RFC implementation, or pick up a task. Creates the branch, gathers context, and checks learnings.
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。
Fix actionable in-scope findings in the current Incan worktree, usually after /review. Use when the user asks to fix review findings, clean up reported issues, apply in-scope review feedback, or says /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。
Orchestrate a named multi-skill loop such as /loop /review /fix until clean or blocked. Use when the user explicitly asks to loop skills, rerun a review/fix cycle, or says /loop with one or more skill names.
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。
Generate a PR description following the repository's pull request template. Use when the user asks to create, draft, or generate a PR description for a pull request. The skill automatically locates the PR template in the target repository and fills it in based on the git diff.
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。
Perform a thorough, Incan-project-aware code review. Use when the user asks for a review, code critique, PR review, or says /review. Checks Rust anti-patterns, compiler pipeline completeness, error handling, test coverage, style conventions, and RFC compliance specific to the Incan compiler codebase.
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 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 touched subsystems for layering, crate boundaries, single-source-of-truth rules, registry-driven behavior, and compiler/runtime separation. Use when a broad review needs a dedicated architecture pass or when the user asks for architectural 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。