/mako-workflow
TRIGGER when: user wants an investigation packet, pre-ship artifact, recall of prior work or answers, or to log tool-run feedback / inspect telemetry. Covers `suggest`, `investigate`, `workflow_packet`, `tenant_leak_audit`, `health_trend`, `issues_next`, `session_handoff`, all
Claude Code
$ npx -y skills add drhalto/agentmako --skill mako-workflow --agent claude-code
Codex
$ npx skills add drhalto/agentmako --skill mako-workflow -a codex -y
Cursor
$ npx skills add drhalto/agentmako --skill mako-workflow -a cursor -y
Gemini CLI
$ npx skills add drhalto/agentmako --skill mako-workflow -a gemini-cli -y
GitHub Copilot
$ npx skills add drhalto/agentmako --skill mako-workflow -a github-copilot -y
OpenCode
$ npx skills add drhalto/agentmako --skill mako-workflow -a opencode -y
Windsurf
$ npx skills add drhalto/agentmako --skill mako-workflow -a windsurf -y
SKILL.md
mako-workflow.SKILL.mddescription: >-
TRIGGER when: user wants an investigation packet, pre-ship artifact, recall
of prior work or answers, or to log tool-run feedback / inspect telemetry.
Covers `suggest`, `investigate`, `workflow_packet`, `tenant_leak_audit`,
`health_trend`, `issues_next`, `session_handoff`, all four artifact tools,
`recall_answers`, `recall_tool_runs`, `agent_feedback`,
`agent_feedback_report`, `runtime_telemetry_report`, `finding_ack`,
`finding_acks_report`.
when_to_use: >-
Use for multi-step workflows, durable task artifacts, prior-session memory,
feedback logging, telemetry inspection, and reviewed static-finding state.
allowed-tools: "mcp__mako-ai__*"
Mako Workflow
Use this skill when the user needs a workflow output rather than a single trace: investigation packets, pre-implementation or review artifacts, prior-session recall, feedback, telemetry, or finding acknowledgements.
Operator And Workflow Tools
`suggest`
Use to propose useful Mako queries or investigation directions.
`investigate`
Use to run a broader bounded investigation workflow around a target.
`workflow_packet`
Use to produce a bundled workflow summary from gathered context.
`tenant_leak_audit`
Use to inspect likely tenant-boundary and data-leak risks.
- Pair with `db_rls`, `route_context`, `rpc_neighborhood`, or review artifacts
when the user is evaluating security-sensitive changes.
`health_trend`
Use to summarize health trends from recorded project signals.
`issues_next`
Use to identify likely next issues or triage targets.
`session_handoff`
Use to produce a concise handoff for later continuation.
Artifact Tools
`task_preflight_artifact`
Use before implementation to create task context, risks, likely move surfaces, and verification plan.
`implementation_handoff_artifact`
Use when handing coding work to another agent or future session.
`review_bundle_artifact`
Use for pre-ship review findings, evidence, and risks.
`verification_bundle_artifact`
Use to summarize verification steps, outcomes, trust state, and remaining gaps.
Recall Tools
`recall_answers`
Use to retrieve prior answer artifacts relevant to the current task.
`recall_tool_runs`
Use to retrieve recent Mako tool runs.
- Use this before `agent_feedback`.
- Copy the returned `requestId` into `agent_feedback.referencedRequestId`.
- Default limit is 50 and max is 500; use a smaller limit first when locating a
recent run.
Feedback And Telemetry
`agent_feedback`
Use to log whether a specific prior Mako tool run was useful.
- Use sparingly for notable full, partial, or no-usefulness cases.
- Requires both `referencedToolName` and `referencedRequestId`.
- Do not call after every Mako tool.
- Use `recall_tool_runs` first; do not fabricate request IDs.
Starter reason codes:
- `full`: `answer_complete`, `evidence_sufficient`, `trust_matches`
- `partial`: `partial_coverage`, `noisy`, `stale_evidence`,
`missing_known_caller`, `top_not_useful`
- `no`: `answer_wrong`, `wasted_turn`, `tool_did_nothing`, `schema_missing`
`agent_feedback_report`
Use to inspect feedback events by referenced tool, grade, time window, and aggregate counts.
`runtime_telemetry_report`
Use to inspect runtime telemetry aggregates and event lists.
- Use for review/debugging, not automatic tool selection.
Finding Acknowledgements
`finding_ack`
Use to acknowledge a specific static finding as reviewed, accepted-risk, false-positive, or otherwise handled.
- Use for findings from `ast_find_pattern` and `lint_files`.
- Do not use it to rate Mako search or trace quality.
- Defaults to preview. Re-call with `preview: false` only after the
acknowledgement is intentionally being applied.
`finding_ack_batch`
Use to acknowledge multiple reviewed findings at once.
- Defaults to preview and returns `wouldApply` plus rejected rows.
- Re-call with `preview: false` only when the batch suppression is intentional.
`finding_acks_report`
Use to inspect acknowledged finding history and trends.
See Also
- Use `/mako-ai:mako-guide` for the full feedback versus finding-ack policy.
- Use `/mako-ai:mako-trace`, `/mako-ai:mako-neighborhoods`, and
`/mako-ai:mako-graph` to gather evidence before producing artifacts.
Read more
description: >- TRIGGER when: user wants an investigation packet, pre-ship artifact, recall of prior work or answers, or to log tool-run feedback / inspect telemetry. Covers `suggest`, `investigate`, `workflow_packet`, `tenant_leak_audit`, `health_trend`, `issues_next`, `session_handoff`, all four artifact tools, `recall_answers`, `recall_tool_runs`, `agent_feedback`, `agent_feedback_report`, `runtime_telemetry_report`, `finding_ack`, `finding_acks_report`. when_to_use: >- Use for multi-step workflows, durable task artifacts, prior-session memory, feedback logging, telemetry inspection, and reviewed static-finding state. allowed-tools: "mcp__mako-ai__*"
Mako Workflow
Use this skill when the user needs a workflow output rather than a single trace: investigation packets, pre-implementation or review artifacts, prior-session recall, feedback, telemetry, or finding acknowledgements.
Operator And Workflow Tools
`suggest`
Use to propose useful Mako queries or investigation directions.
`investigate`
Use to run a broader bounded investigation workflow around a target.
`workflow_packet`
Use to produce a bundled workflow summary from gathered context.
`tenant_leak_audit`
Use to inspect likely tenant-boundary and data-leak risks.
- Pair with `db_rls`, `route_context`, `rpc_neighborhood`, or review artifacts
when the user is evaluating security-sensitive changes.
`health_trend`
Use to summarize health trends from recorded project signals.
`issues_next`
Use to identify likely next issues or triage targets.
`session_handoff`
Use to produce a concise handoff for later continuation.
Artifact Tools
`task_preflight_artifact`
Use before implementation to create task context, risks, likely move surfaces, and verification plan.
`implementation_handoff_artifact`
Use when handing coding work to another agent or future session.
`review_bundle_artifact`
Use for pre-ship review findings, evidence, and risks.
`verification_bundle_artifact`
Use to summarize verification steps, outcomes, trust state, and remaining gaps.
Recall Tools
`recall_answers`
Use to retrieve prior answer artifacts relevant to the current task.
`recall_tool_runs`
Use to retrieve recent Mako tool runs.
- Use this before `agent_feedback`.
- Copy the returned `requestId` into `agent_feedback.referencedRequestId`.
- Default limit is 50 and max is 500; use a smaller limit first when locating a
recent run.
Feedback And Telemetry
`agent_feedback`
Use to log whether a specific prior Mako tool run was useful.
- Use sparingly for notable full, partial, or no-usefulness cases.
- Requires both `referencedToolName` and `referencedRequestId`.
- Do not call after every Mako tool.
- Use `recall_tool_runs` first; do not fabricate request IDs.
Starter reason codes:
- `full`: `answer_complete`, `evidence_sufficient`, `trust_matches`
- `partial`: `partial_coverage`, `noisy`, `stale_evidence`,
`missing_known_caller`, `top_not_useful`
- `no`: `answer_wrong`, `wasted_turn`, `tool_did_nothing`, `schema_missing`
`agent_feedback_report`
Use to inspect feedback events by referenced tool, grade, time window, and aggregate counts.
`runtime_telemetry_report`
Use to inspect runtime telemetry aggregates and event lists.
- Use for review/debugging, not automatic tool selection.
Finding Acknowledgements
`finding_ack`
Use to acknowledge a specific static finding as reviewed, accepted-risk, false-positive, or otherwise handled.
- Use for findings from `ast_find_pattern` and `lint_files`.
- Do not use it to rate Mako search or trace quality.
- Defaults to preview. Re-call with `preview: false` only after the
acknowledgement is intentionally being applied.
`finding_ack_batch`
Use to acknowledge multiple reviewed findings at once.
- Defaults to preview and returns `wouldApply` plus rejected rows.
- Re-call with `preview: false` only when the batch suppression is intentional.
`finding_acks_report`
Use to inspect acknowledged finding history and trends.
See Also
- Use `/mako-ai:mako-guide` for the full feedback versus finding-ack policy.
- Use `/mako-ai:mako-trace`, `/mako-ai:mako-neighborhoods`, and
`/mako-ai:mako-graph` to gather evidence before producing artifacts.
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.
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brainstorming
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ask-matt
Ask which skill or flow fits your situation. A router over the skills in this repo.
Questions about mako-workflow.
- Which coding agents can use mako-workflow?
- mako-workflow installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

