Skills for “llm”

…scheduling, real-time multiplayer, mobile backends, and LLM/agent workflows on Convex's one-platform…

Instrumenting GenAI/LLM applications with OpenTelemetry for Honeycomb, including content capture and agent failure detection. Trigger phrases: "instrument my GenAI app", "add tracing to LLM calls", "trace AI agent",…

…or migrating an existing GCP/Azure/Heroku workload or an LLM SDK rewrite (see gcp-to-aws / azure-to-aws / heroku-to-aws /…

…AI, or the Anthropic API to Amazon Bedrock — a pure model/SDK rewrite. End-to-end: assesses the codebase, optionally captures aggregate OpenAI, OpenRouter, or Anthropic cost and token usage through consent-gated…

Source-cloud-neutral assessment of AI/LLM usage for a migration to Amazon Bedrock. Use when the user wants to find which OpenAI (direct or Azure OpenAI), Anthropic, Google/Gemini, or OpenRouter calls their code makes,…

…out of scope, redirected to gcp-to-aws / heroku-to-aws / llm-to-bedrock. Not for: compute/data migration with no AI agent; pure LLM SDK rewrite (use llm-to-bedrock); per-model…

Amazon Redshift is NOT PostgreSQL; corrects LLM mistakes; covers SQL, metadata, connectivity/auth, storage, query performance, and operations. Applies ONLY to Redshift (provisioned or Serverless). Pushes back on: CREATE…

…agent-advisor, gcp-to-aws, heroku-to-aws, and llm-to-bedrock: once their output is final, this skill checks whether a relevant Activate offer exists for what the founder is building or migrating and, if…

…references with asm-exec so plaintext never enters the LLM context…

…(description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App…

…Vercel, Netlify, Supabase, Firebase, OpenAI and other LLM APIs, databases, CDNs) by analyzing billing exports and infrastructure code, then ranks savings by dollars and effort with exact fixes and risks. Use when…

…of re-running and re-paying for steps 1 to 36. Wraps each model call, tool call and side effect in a journaled step (ctx.step, ctx.llm), moves time, randomness and network reads behind ctx so replays match, puts…

…SOUL/USER identity, bad facts row) or a hallucination (LLM confabulated from partial…

…lists sub-skills in a "(dispatcher for: ...)" clause. The LLM reads one area entry and routes to the correct sub-skill. Proven via held-out A/B eval: dispatcher pattern outperforms naive pipe-table…

Tiered LLM extraction pattern for large corpus processing (email archives, document dumps, transcript libraries). A utility-tier model triages and classifies at speed; the reasoning tier does the default deep read; the…

…inter-document reference, classifies the edge TYPE with LLM judgment, and writes first-class typed edges via `gbrain link`, so `gbrain graph-query --type` can walk the argument ("everything this brief relies on,…

Unified Minions skill for both deterministic shell jobs and LLM subagent orchestration. Replaces the older `gbrain-jobs` routing intent. Use when: submitting gbrain jobs, shell/background tasks, spawning subagents,…

Share brain pages as beautiful password-protected HTML with zero LLM calls

…Ships two guard companions: panel integrity (multi-model judging must prove each provider actually responded) and the fail-improve taxonomy (logged LLM-fallback cases convert to deterministic code over…

No description in the SKILL.md.