/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`.
$ npx -y skills add drhalto/agentmako --skill mako-guide --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
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/mako-guide
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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.mddescription: >-
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
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.
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.
Repo: drhalto/agentmako
Other skills on agentmako.
- /mako-code-intel
TRIGGER when: user wants structural code pattern search (ast-grep) or static lint against selected files, or wants to turn a fix diff into a rule-pack draft. Covers `ast_find_pattern`, `lint_files`, `extract_rule_template`.
Open skill - /mako-database
TRIGGER when: user asks about database schema, RLS policies, foreign keys, stored procedures, or table DDL directly. Covers `db_ping`, `db_columns`, `db_fk`, `db_rls`, `db_rpc`, `db_table_schema`.
Open skill - /mako-discovery
TRIGGER when: user is working in an unfamiliar repo, asks 'where is X', 'what touches Y', needs broad search across code/schema/routes, or is unsure which mako tool fits the task. Covers `reef_ask`, `reef_status`, `reef_verify`, `reef_impact`, `mako_help`, `tool_search`,
Open skill - /mako-graph
TRIGGER when: user asks about relationships, dependency paths, import hotspots or cycles, symbol impact, or blast radius of a proposed change. Covers `graph_neighbors`, `graph_path`, `flow_map`, `change_plan`, `imports_deps`, `imports_impact`, `imports_hotspots`,
Open skill - /mako-neighborhoods
TRIGGER when: user wants entity-wide context for a table, route, or RPC -- schema + RLS + readers + writers + downstream touches all at once. Covers `table_neighborhood`, `route_context`, `rpc_neighborhood`.
Open skill - /mako-trace
TRIGGER when: user asks to trace a specific route, schema object, file, table, RPC, or error string through its evidence. Covers `route_trace`, `schema_usage`, `file_health`, `auth_path`, `trace_file`, `preflight_table`, `trace_edge`, `trace_error`, `trace_table`, `trace_rpc`.
Open skill

