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Search, list, or retrieve agents, commands, and skills to address common patterns in multi-tenant SaaS, Supabase, CI/CD, observability, and SRE.

Instructions

Browse the personal kit: 74 agents, 94 commands, 100 skills. Call this when the user mentions Supabase (RLS, branching, migrations, Edge Functions, Custom Claims, Postgres Roles, Storage, Realtime, pgvector), multi-tenant SaaS, agentic harness, characterization tests, legacy refactor, observability (SLO, golden signals, error budgets), DDIA topics (consistency, replication lag, schema evolution), SRE (postmortems, toil, PRR), CI/CD (hermetic builds, pipelines), or any workflow that benefits from the canonical patterns. Use action=search to discover, action=get to read the full prompt/skill.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
kindNoFor action=get
nameNoFor action=get
queryNoFor action=search
terseNoFor action=list-*: omit description, return only {kind, name}. Default false (PERF-15-01).
tierNoFor action=list-agents: filter by tier. core = workflow backbone (~13); specialized = domain-specific (~54). Omit for all.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It implies read-only behavior (browse, search, get) but does not explicitly confirm no side effects, rate limits, or auth requirements. The behavior is safe-appearing but could be more explicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph that efficiently conveys purpose, usage context, and action semantics. It is front-loaded with the core functionality. While somewhat lengthy due to topic list, every sentence earns its place without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description does not describe return values or format for each action. It covers what the tool does and when to use it, but omits details on how results are structured, which may be needed for a knowledge tool with multiple list and detail actions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is high (83%), so baseline is 3. The description adds value by explaining the purpose of action values ('Use action=search to discover, action=get to read the full prompt/skill') and listing topics that map to the tool's content, which enhances understanding beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Browse the personal kit' with specific verb and resource, and lists the contents (74 agents, 94 commands, 100 skills). It distinguishes from sibling tools which are operational (e.g., ack-restart, sync) by focusing on browsing and knowledge retrieval.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit contexts for when to call the tool: 'Call this when the user mentions Supabase, multi-tenant SaaS, etc.,' and gives action-specific guidance (search to discover, get to read). It does not explicitly state when not to use it, but the context is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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