Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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。
Load and synthesize framework architecture context for reflection and planning tasks.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Provide a consistent, source-anchored model of this framework so agents can reason about system-level behavior without guessing.
memory, agents, workflows, hooks, or all) — loading all sources for a narrow task wastes tokens and buries relevant signals.missing source: <path> rather than silently omitting a section — silent omissions cause downstream agents to make decisions on incomplete context.| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| Skipping context load before reflection | Reflection uses stale or hallucinated routing/memory assumptions | Always invoke framework-context first; never reflect from memory alone |
Loading full all scope for a narrow task | Token budget consumed by irrelevant sections; key signal buried | Pass --scope memory or --scope agents to limit output to what's needed |
| Inferring file paths from naming conventions | Paths change; inferred paths break agent pipelines | Always read canonical sources and report actual paths found |
| Writing to framework files inside this skill | Bypasses creator workflow and post-creation integration steps | Use appropriate creator/updater skill for any write operations |
| Silently omitting sections when source is missing | Consumer assumes context is complete; makes decisions on gaps | Report missing source: <path> explicitly for every unresolvable section |
scope argument: memory | agents | workflows | hooks | allallRead only what is required by scope:
.claude/docs/MEMORY_SYSTEM.md.claude/context/agent-registry.json, .claude/lib/routing/routing-table.cjs.claude/hooks/reflection/reflection-queue-processor.cjs, .claude/hooks/reflection/reflection-step0-guard.cjs.claude/docs/@ENTERPRISE_WORKFLOWS.md.claude/CLAUDE.mdOutput sections in this exact order:
Each section must include:
scope != all, return only relevant section(s)missing source: <path>Return markdown only; do not write framework files from this skill.
</execution_process> </instructions>
<examples> <usage_example> **Example Invocations**:// Full framework model
Skill({ skill: 'framework-context' });
// Memory-only context for reflection prep
Skill({ skill: 'framework-context', args: '--scope memory' });
// Workflow/hook-only context for integration analysis
Skill({ skill: 'framework-context', args: '--scope workflows' });
</usage_example> </examples>
Before starting:
Get-Content .claude/context/memory/learnings.md -TotalCount 120
After completing:
.claude/context/memory/learnings.md.claude/context/memory/issues.md.claude/context/memory/decisions.mdASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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 you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
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。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent 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。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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。