Skip to content

/mako-guide

Start here when working in a project with the mako-ai MCP server configured. Entry point that explains how mako's tool skills are organized and carries the policy for logging `agent_feedback` vs acknowledging static findings with `finding_ack`.

shell
$ npx -y skills add drhalto/agentmako --skill mako-guide --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/mako-guide
How auto-invocation works

Context preview

The summary Claude sees to decide when to auto-load this skill.

Start here when working in a project with the mako-ai MCP server configured. Entry point that explains how mako's tool skills are organized and carries the policy for logging `agent_feedback` vs acknowledging static findings with `finding_ack`.

SKILL.md

mako-guide.SKILL.md
description: >-
  Start here when working in a project with the mako-ai MCP server configured.
  Entry point that explains how mako's tool skills are organized and carries
  the policy for logging `agent_feedback` vs acknowledging static findings with
  `finding_ack`.
when_to_use: >-
  Use when starting a Mako-backed investigation, deciding which Mako skill to
  invoke, deciding whether to log tool feedback, or deciding whether a static
  finding should be acknowledged.
allowed-tools: "mcp__mako-ai__*"

Mako Guide

Mako is a project-intelligence MCP server. Use it when the user asks structural, cross-surface, or evidence-backed engineering questions that are better answered from indexed code, schemas, routes, graph edges, prior sessions, or telemetry than from ad hoc file reads.

Do not use this skill as a schema reference. For current tool schemas, use MCP ToolSearch or the live tool definition loaded by Claude Code.

Skill Map

  • Use `/mako-ai:mako-discovery` for first-turn orientation, broad search, and

"which tool should I use?" questions.

  • Use `/mako-ai:mako-trace` for targeted route, schema, file, table, RPC, edge,

auth, or error tracing.

  • Use `/mako-ai:mako-neighborhoods` for one-call table, route, or RPC context

bundles.

  • Use `/mako-ai:mako-graph` for relationships, dependency paths, import impact,

symbol impact, flow mapping, and change planning.

  • Use `/mako-ai:mako-database` for direct database schema, RLS, foreign-key, or

RPC introspection.

  • Use `/mako-ai:mako-code-intel` for structural AST pattern search and focused

lint diagnostics.

  • Use `/mako-ai:mako-workflow` for investigation packets, artifacts, recall,

telemetry inspection, feedback, and finding acknowledgements.

General Routing Rules

  • Read `_hints` on every Mako tool result before deciding the next call. They

are generated from the actual returned result and may override the generic workflow expectation.

  • Default to `reef_ask` for project questions. It combines codebase, database,

findings, diagnostics, instructions, freshness, and quoted literal checks.

  • Use `mako_help` when you need a task-specific Mako workflow recipe instead

of reading docs or guessing which specialist tool to load.

  • Use `context_packet`, `cross_search`, `file_preflight`, DB tools, and graph

tools as specialist follow-ups after `reef_ask`, `mako_help`, or `tool_search` points at a concrete need.

  • Prefer Mako over built-in grep when the question is about relationships,

not literal text.

  • Built-in text search is fine for exact strings inside known files.
  • Start broad only when the target is unknown; switch to targeted tools once

you have a route, table, RPC, file, or symbol.

  • Do not invent schemas, arguments, request IDs, finding fingerprints, or

telemetry events.

  • If a tool name is uncertain, use `tool_search` before calling a Mako tool.

Feedback Logging Policy

Log `agent_feedback` selectively when a Mako result is notably useful, partially useful, noisy, stale, incomplete, wrong, or wasted the turn. Do not emit routine feedback after every tool call.

Before calling `agent_feedback`:

1. Call `recall_tool_runs`. 2. Filter by `toolName` and a recent ISO time window when possible. 3. Use a small `limit` first. 4. Copy the recalled `requestId` into `referencedRequestId`. 5. Set `referencedToolName` to the tool being rated. 6. Use `grade: "full" | "partial" | "no"`. 7. Include concise `reasonCodes` and a short human-readable `reason`.

If no `requestId` is available, do not fabricate one. Refine `recall_tool_runs` or skip feedback.

Use these starter reason codes exactly when they fit:

  • `grade: "full"`: `answer_complete`, `evidence_sufficient`,

`trust_matches`

  • `grade: "partial"`: `partial_coverage`, `noisy`, `stale_evidence`,

`missing_known_caller`, `top_not_useful`

  • `grade: "no"`: `answer_wrong`, `wasted_turn`, `tool_did_nothing`,

`schema_missing`

The reason-code vocabulary is guidance, not a hard enum. New snake_case codes are acceptable when none of the starter codes fit.

Finding Acks Are Different

Use `finding_ack` for reviewed static findings, not for tool usefulness.

  • Use `agent_feedback` to rate a specific Mako tool run.
  • Use `finding_ack` to acknowledge a specific AST/lint/static finding as

reviewed, accepted-risk, false-positive, or otherwise handled.

  • Do not use `finding_ack` to rate search quality.
  • Do not use `agent_feedback` to suppress or accept a static finding.

Telemetry Inspection

Use `agent_feedback_report` and `runtime_telemetry_report` for inspection:

  • confirm feedback capture worked;
  • summarize tool quality over a window;
  • debug whether a live session recorded events;
  • prepare roadmap or implementation review notes.

Do not use telemetry reports as an automatic ranking system for tool selection unless Mako explicitly implements that behavior.

Read more
Read it on GitHub ↗
Ships withagentmako

agentmako is a local-first codebase intelligence engine for AI coding tools. It gives agents like Codex, Claude Code, Cursor, and local harnesses a compact Reef-first tool surface for understanding a project before they edit it.

Get the whole plugin, auto-invoked
Stats
51
Stars
0
Views
5
Forks
Active
Maintenance
TypeScript
Language
Apache-2.0
License
7d ago
Last commit
3mo ago
Created

Repo: drhalto/agentmako

Other skills on agentmako.