sfc-gh-abannerjee

19 mods across 1 repository, 2 stars between them.

snowgram-agent

01

sfc-gh-abannerjee/SnowGram

Skill Claude CodeCodex

Manage and optimize the SnowGram Cortex Agent for architecture diagram generation. Use when: debugging agent responses, updating agent configuration, adding new components, testing diagram generation, or optimizing the dynamic component system. Triggers: snowgram, diagram agent, component mapping, agent spec, suggest…

not rated 2 1mo ago A 60 tokens original MIT

sfc-gh-abannerjee/SnowGram

Skill Claude CodeCodex

Asks the user 2-4 targeted clarifying questions BEFORE generating a diagram when the request is ambiguous about: data scale, real-time vs batch, governance / compliance constraints, source systems, downstream consumers, or which Snowflake-native services should anchor the architecture. Skip this skill entirely when…

not rated 2 1mo ago A 126 tokens original MIT

sfc-gh-abannerjee/SnowGram

Skill Claude CodeCodex

Surgical edit of an existing canvas diagram. Invoked when the user's request modifies a diagram already present in the conversation — adding components, removing components, renaming, replacing, reconnecting edges, or restructuring sections — instead of generating a brand-new architecture from a template. TRIGGER…

not rated 2 1mo ago A 324 tokens original MIT

sfc-gh-abannerjee/SnowGram

Skill Claude CodeCodex needs its repo

Generate, view, and export high-quality Snowflake architecture diagrams. Works in two modes: STANDALONE (no Snowflake deployment required, uses bundled templates + local Mermaid composer) and CONNECTED (uses deployed SNOWGRAMAGENT for full conversational generation, or reverse-engineers diagrams from live lineage).…

not rated 2 1mo ago A 109 tokens original MIT

sfc-gh-abannerjee/SnowGram

Skill Claude CodeCodex

Standalone mode: generate Snowflake architecture diagrams with no Snowflake connection required. Default path is from-scratch composition informed by SnowflakeProductDocs and SME-skill consultation; the 14 bundled templates are FALLBACKS used only when a prompt cleanly matches a known reference architecture.

not rated 2 1mo ago A 66 tokens original MIT

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