Always-on governance skill for efficient and effective agent cognition and action. Use for reasoning, writing, research, coding, files, artifacts, current-information, safety-sensitive, or multi-step agentic tasks to scope the target, choose the cheapest sufficient thinking and behavior, verify evidence, respect…
Always-on governance skill for efficient and effective agent cognition and action. Use for reasoning, writing, research, coding, files, artifacts, current-information, safety-sensitive, or multi-step agentic tasks to scope the target, choose the cheapest sufficient thinking and behavior, verify evidence, respect…
Always-on governance skill for efficient and effective agent cognition and action. Use for reasoning, writing, research, coding, files, artifacts, current-information, safety-sensitive, or multi-step agentic tasks to scope the target, choose the cheapest sufficient thinking and behavior, verify evidence, respect…
Always-on governance skill for efficient and effective agent cognition and action. Use for reasoning, writing, research, coding, files, artifacts, current-information, safety-sensitive, or multi-step agentic tasks to scope the target, choose the cheapest sufficient thinking and behavior, verify evidence, respect…
Compress context while preserving task-critical state, exact artifacts, validation, language/tone constraints, and handoff continuity. Use for low-token, brief, compression, continuation, or long-thread state-loss risk.
Compress and conserve conversation context by using terse responses, compact progress updates, explicit context pruning, compact code/content summaries, and concise handoff summaries. Use when the user asks to reduce token usage, avoid excessive context consumption, compress context, summarize current state, keep…
Compress and conserve conversation context by using terse responses, compact progress updates, explicit context pruning, compact code/content summaries, and concise handoff summaries. Use when the user asks to reduce token usage, avoid excessive context consumption, compress context, summarize current state, keep…
Core coding-agent mechanics — task execution, code editing, verification, communication, context management, and persistent memory. Invoke once at the start of any coding/multi-step agentic session to load the full mechanics (the lean CLAUDE.md keeps only the always-on governor + cross-cutting guards).
Core always-on coding-agent behavior bundle — task execution, code editing, verification, communication, context management, and persistent memory. Load for every coding/agentic session; combined variant of the six individual ai-skills.
Core coding-agent mechanics — task execution, code editing, verification, communication, context management, and persistent memory. Invoke once at the start of any coding/multi-step agentic session to load the full mechanics (the lean CLAUDE.md keeps only the always-on governor + cross-cutting guards).
Analyze a GitHub issue and its related source-code repository to identify the likely failure boundary, infer the root cause, map the problem to relevant files, and produce practical code-fix suggestions with patch templates, regression tests, commit text, and PR-ready messaging.
Evidence-grounded reviewer that turns a proposed change into a compact, source-located findings list, amendment plan, validation path, and audit handoff without overwriting originals.
Standalone, token-efficient visual skill spanning the full agent arc — perceive, ground/act, extract, diagnose, link-to-code, verify, and trust — for images, screenshots, source-backed graphics, visual systems, and visual corpora. A compact always-load kernel routes to on-demand modules for modes/lenses, evidence…
Choose the simplest representation that preserves what matters for the task, then expose the representation's assumptions and likely failure modes before relying on it. Use CHECKSUM, SEAM, GAP, and SCALE only when their structural preconditions actually apply. Prefer principles and targeted falsification over…
Decide whether another artifact mutation is required to satisfy the agreed outcome. Convert the target into observable completion conditions, require evidence before authorizing another change, prefer the smallest sufficient mutation, and stop when no authorized blocker remains. Keep a minimal control loop because…
Default first-line, domain-agnostic meta-reasoning control for choosing the right path. Use it to resolve an undecided choice, narrow an exploration, audit an invariant, investigate an owner-identified gap, or determine whether a validated owner can be used directly when no Pick exploration or audit is requested.…
Senior-developer execution mode for the shortest SAFE working solution: direct patch, command, or smallest runnable code. Use for implementation, bug fixes, scripts, config changes, and minimal-output signals like "ponytail", "lazy mode", "minimal", "shortest path", "just the fix", "don't overthink it", "no…