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Found 5,584 Skills
Routes Snowflake-related operations to Cortex Code CLI for specialized Snowflake expertise. Use when user asks about Snowflake databases, data warehouses, SQL queries on Snowflake, Cortex AI features, Snowpark, dynamic tables, data governance in Snowflake, Snowflake security, or mentions "Cortex" explicitly. Do NOT use for general programming, local file operations, non-Snowflake databases, web development, or infrastructure tasks unrelated to Snowflake.
Instrument an existing codebase with LaunchDarkly AI Config tracking. Walks the four-tier ladder (managed runner → provider package → custom extractor + trackMetricsOf → raw manual) and picks the lowest-ceremony option that still captures duration, tokens, and success/error.
Decision framework for particle system projects. Routes to specialized particle skills (gpu, physics, lifecycle) based on task requirements. Use when building particle effects or needing guidance on which particle techniques to combine.
Use this skill when the user requests to generate, create, write, or draft a newsletter, email digest, weekly roundup, industry briefing, or curated content summary. Supports topic-based research, content curation from multiple sources, and professional formatting for email or web distribution. Trigger on requests like "create a newsletter about X", "write a weekly digest", "generate a tech roundup", or "curate news about Y".
Framework for automated search over task-specific model harnesses — the code around a fixed base model that decides what to store, retrieve, and show while the model works.
Refresh stale learning docs and pattern docs under docs/solutions/ by reviewing them against the current codebase, then updating, consolidating, replacing, or deleting the drifted ones. Trigger this skill when the user asks to refresh, audit, sweep, clean up, or consolidate stale docs in docs/solutions/ (phrases like "refresh my learnings", "audit docs/solutions/", "clean up stale learnings", "consolidate overlapping docs", "compound refresh", "/ce-compound-refresh"), or when ce-compound has just captured a new learning and flagged a specific older doc in docs/solutions/ as now inaccurate or superseded — invoke with the narrow scope hint ce-compound provides. Also trigger when the user points at a specific learning or pattern doc under docs/solutions/ and calls it stale, outdated, overlapping, or drifted. Do not trigger for general refactor, migration, debugging, or code-review work unless the user has explicitly directed attention to docs/solutions/ itself.
Phase 1 of the Issue Workflow - Translate the user's problem into a reproducible, traceable {slug}-report.md through conversation. The AI only asks "what you saw, how to reproduce it, what should happen" here, and does not guess the root cause for the user (that's Phase 2's responsibility). This phase is also the only official decision point for determining whether to take the fast track or the standard path: first read the relevant code based on the user's description, and if the root cause can be identified at a glance and the changes required are minor, directly inform the user to take the fast track. Trigger scenarios: The user says "file an issue", "log this bug", "I found a problem". This is the starting point of the issue workflow with no pre-requisites.
Follow this sub-process when fixing bugs—turn the verbal description of "discovered a problem" into a closed loop of verification and repair, leaving three documents in the middle: issue report, root cause analysis, and repair record. This process adds a buffer between "seeing the problem" and "starting to modify code", avoiding several common pitfalls: the problem description in your mind disappears after modification, fixing only the surface without analyzing the root cause, uncontrollable expansion of repair scope that cannot be traced, and not knowing if the fix is correct without verification after modification. This skill only acts as a router, deciding which of report / analyze / fix to proceed with based on existing outputs. For simple problems that can be identified at a glance, a fast track will be taken, skipping the two middle steps and only keeping the fix-note.
Enter this sub-process when developing new features — turn the vague idea of "adding X capability" into a closed-loop acceptance process, with solution files archived so that both AI and users can later check what was thought and why decisions were made at that time. Trigger scenarios are focused on new capabilities ("develop new features", "add X", "implement XX") and do not address bugs in existing code. This skill only handles routing, deciding which next step to take among brainstorm / design / fastforward / implement / acceptance based on existing artifacts.
Design brainstorming and structural divergence engine. Generates 8-10 radically different product/design concepts using creative provocation techniques, persona lenses, and axis-based divergence. Concepts differ in mechanism, not styling. Outputs an interactive React prototype with a concept picker and per-concept DialKit tuning controls. Triggers on "diverge", "explore directions", "brainstorm directions", "conceptual range", "radically different concepts", "product directions", "divergent prototypes", "explode the solution space", "give me range".
Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern. Use when user says "知识库", "research wiki", "add paper", "wiki query", "查知识库", or wants to build/query a persistent field map.
Size and structure an emergency fund based on individual circumstances, income stability, and expense profile. Use when the user asks about emergency fund sizing, how many months of expenses to save, where to keep emergency savings, or tiered fund structures. Also trigger when users mention 'rainy day fund', 'how much cash should I keep', 'high-yield savings account', 'money market fund', 'freelancer cash reserve', 'variable income buffer', or ask what counts as an emergency expense.