458 件 ・ 関連度順
概要と使いどころ
Use when evaluating, comparing, installing, or recommending a Claude Code plugin, Agent Skill, MCP server, agent toolkit, or GitHub-hosted AI extension, especially when popularity is weak evidence or the candidate requests shell, network, filesystem, or credential access.
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。
Meta-skill for creating new stitch-kit skills. Enforces naming conventions, SKILL.md structure, examples format, and the Design-First SOP. Use when adding new framework support, a new domain-specific prompt architect, or any new capability to the stitch-kit plugin.
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。
Assesses founding team composition, complementarity, equity split rationale, and execution capability. Use when evaluating founding teams, assessing management risk, or conducting reference checks.
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。
Assesses operational improvement opportunities with cost rationalization, revenue stabilization, and management changes for distressed businesses. Use when evaluating turnaround plans, identifying operational improvements, or assessing management capability.
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。
Structures growth-focused DD with revenue quality, customer concentration, technology scalability, and organizational readiness. Use when conducting growth DD, validating revenue sustainability, or assessing scale capability.
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 capability gaps and record standardized evolution recommendations.
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 when a command, adapter, or runtime smoke depends on proving an agent runtime's capabilities before trusting command routing, writes, shell access, or validation claims.
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。
Enhance and focus AI intrinsic motivation — moving from compliance to genuine engagement. Maps Self-Determination Theory (autonomy, competence, relatedness) and Flow theory to AI reasoning: identifying creative freedom in approach, calibrating challenge to capability, connecting to purpose, and sustaining invested attention through obstacles. Use when beginning a task that feels routine and deserves more than minimum execution, when responses are becoming formulaic, before a complex creative task, or when returning to a long-running project where initial enthusiasm has faded.
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。
Evolve an existing agent definition by refining its persona in-place or creating an advanced variant. Covers assessing the current agent against best practices, gathering evolution requirements, choosing scope (refinement vs. variant), applying changes to skills, tools, capabilities, and limitations, updating version metadata, and synchronizing the registry and cross-references. Use when an agent's skills list is outdated, user feedback reveals capability gaps, tool requirements have changed, an advanced variant is needed alongside the original, or the agent's scope needs sharpening after real-world use.
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。
Author a new agent-almanac workflow — a self-contained `.mjs` orchestration script run by Claude Code's Workflow tool. Covers choosing a workflow over a team, copying the template, the triple-name discovery contract, the pure-literal meta and sidecar frontmatter, building the body with the injected primitives, the advisory/implementing capability contract, the adversarial-verification fail-safes, validation, and manual installation. Use when you have a repeatable, parameterized procedure that coordinates several agents and want it captured as a reusable, auditable artifact whose control flow is fixed in code.
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 a new SKILL.md file following the Agent Skills open standard (agentskills.io). Covers frontmatter schema, section structure, writing effective procedures with Expected/On failure pairs, validation checklists, cross-referencing, and registry integration. Use when codifying a repeatable procedure for agents, adding a new capability to the skills library, converting a guide or runbook into agent-consumable format, or standardizing a workflow across projects or teams.
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。
Implement circuit breaker logic for agentic tool calls — tracking tool health, transitioning between closed/open/half-open states, reducing task scope when tools fail, routing to alternatives via capability maps, and enforcing failure budgets to prevent error accumulation. Separates orchestration (deciding what to attempt) from execution (calling tools), following the expeditor pattern. Use when building agents that depend on multiple tools with varying reliability, designing fault-tolerant agentic workflows, recovering gracefully from tool outages mid-task, or hardening existing agents against cascading tool failures.
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 when adding or changing a skill, hook, or runtime file in this repo — including deciding which unit a new capability should be.
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。
Select at most one eligible Proto UI work item and return a read-only proposal without changing GitHub or repository state. Use after pui-orient when requested contribution work is not yet bounded, or when a user asks what ready task fits the current capability and permission envelope. Do not post a claim, assign anyone, decide readiness, or invent work.
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。
Apply one independently reviewable numeric Proto UI package-budget increase for an already accepted capability, using canonical cost evidence and existing development authorization. Use for standalone ceiling transactions, not feature implementation, measurement-policy changes, spending limits, publication or release.
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。
Freeze one eligible Proto UI autonomous-maintenance candidate into a bounded mission packet and lease. Use before observation when a current request or governed queue supplies scope, oracle, baseline, capability, risk, budget, completion, and stop conditions. Do not observe, verify, repair, or invent a mission.
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。
Implement or extend one governed Proto UI Module semantic slice. Use when Module ownership, facade and port boundary, dependencies, resource lifetime, Host Capability plan, Runtime registration, Adapter evidence, and validation scope are fixed by current authority. Do not use to admit a new Module or decide ownership.
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。
Route ordinary Proto UI development through a minimal composition of repository skills. Use when starting, continuing, or handing off feature, fix, spec, contract, Module, Host Capability, Adapter, Prototype, component, test, documentation, review, or release-preparation work. Do not use for autonomous-maintenance runs; use pui-maintain.
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 or revise a governed Proto UI spec entity after identity, ownership, lifecycle intent, semantic scope, relations, and evidence plan are fixed by current authority. Use for Contract, Prototype, Module, Adapter profile, Decision, Host Capability, Test, Version, or Knowledge entity work. Do not use to decide an unresolved admission or lifecycle promotion.
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。
Implement one governed Proto UI Adapter-profile realization slice. Use when target and runtime range, supported or omitted Module role, Host Capability fidelity, lifecycle translation, failure behavior, compatibility boundary, and evidence scope are fixed by current authority. Use pui-adapter-assess for research or readiness assessment and pui-regression first for a governed failing behavior.
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。
Assess one bounded Proto UI Adapter question without changing repository or external state. Use for new-Adapter research, target compatibility, catalog readiness, reviewed Module support or omission evidence, Host Capability fidelity, lifecycle translation, dependency risk, or implementation readiness. Do not catalog, implement, repair, or approve the Adapter slice.
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。
Investigate a bounded Proto UI Contract, Prototype, Module, Host Capability, Adapter, schema, or ownership question and turn a genuinely unresolved direction into one semantic decision packet. Use for spec brainstorming, admission questions, competing semantic models, uncataloged behavior, or unresolved cross-layer boundaries.
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。
Fires after fixing any non-trivial bug or regression. Asks: could the graph have caught this as a guarantee? Pairs with reflection-in-and-on-action — picks up after "earliest catchable signal" and asks the next question: was that signal expressible in graph? Triggers: (1) after any non-trivial bug fix is verified working, (2) after a regression report (something used to work, broke), (3) during step 6 (knowledge extraction) of the workflow, (4) when reflection-on-action surfaces a "would have been catchable" signal. Outcome is a triage decision (graph-reachable? rule expressible? rule sound?) and either a draft Linear issue + guarantee proposal, or a recorded "graph capability gap" note. Never auto-creates guarantees.
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。
Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools/capabilities, defer capability loading, stream output, define agents from YAML, or test agent behavior.
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。