Creator · johncattrall
Last updated · Sep 1, 2026
Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input process
Creator · johncattrall
Last updated · Sep 1, 2026
Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input process
Creator · johncattrall
Last updated · Sep 1, 2026
Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input process
Creator · johncattrall
Last updated · Sep 1, 2026
Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input process
Do not auto-install
Install targets
Codex install prompt
Install the "keymap-ai" agent skill from https://github.com/johncattrall/keymap-ai/tree/main/skills/keymap-ai. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input processors, generating keymap-drawer diagrams and CI, adding alternate layouts (Graphite, Colemak-DH, Canary), setting up multi-OS (macOS/Windows/Linux) or international/non-US keymaps, wiring window manager controls, or debugging firmware build errors and layer capture issues. Triggers on keymap, layers, combos, tapping term, split keyboard, or keyboard firmware mentions. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"johncattrall-keymap-ai","task":"Install keymap-ai","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add johncattrall/keymap-ai --skill keymap-ai
Maintenance
fresh
11d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
14
58/100 Quality · 67/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · No security concerns identified; the skill only reads and edits configuration files as requested by the user, with no destructive commands or external downloads.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
14 GitHub stars
Repo activity
14 stars, 0 forks
Maintenance
11d since push
License
MIT
Install
npx skills add johncattrall/keymap-ai --skill keymap-ai
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add johncattrall/keymap-ai --skill keymap-aiDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/johncattrall-keymap-ai/install
Agent should check
Copy prompt
Task: Use keymap-ai in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/johncattrall-keymap-ai/install
Install command: npx skills add johncattrall/keymap-ai --skill keymap-ai
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/johncattrall-keymap-ai/install
LLM text format
/api/skills/johncattrall-keymap-ai/install?format=text
Find alternatives
/api/skills/search?q=keymap-ai&limit=3
Agent prompt
Use keymap-ai for this task. Review https://www.openagentskill.com/api/skills/johncattrall-keymap-ai/install, then install with: npx skills add johncattrall/keymap-ai --skill keymap-aiRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/johncattrall-keymap-ai
LLM text
/api/registry/manifest/johncattrall-keymap-ai?format=text
Install alias
/api/registry/install/johncattrall-keymap-ai
Recommend
/api/registry/recommend?task=Use%20keymap-ai%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX14 GitHub stars
Stars/forks activity
FIX14 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
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--- name: keymap-ai description: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input processors, generating keymap-drawer diagrams and CI, adding alternate layouts (Graphite, Colemak-DH, Canary), setting up multi-OS (macOS/Windows/Linux) or international/non-US keymaps, wiring window manager controls, or debugging firmware build errors and layer capture issues. Triggers on keymap, layers, combos, tapping term, split keyboard, or keyboard firmware mentions. ---
# keymap-ai
Turn your coding agent into a keyboard firmware expert: field-verified audits, tuning and upgrades for ZMK and QMK keymaps.
ZMK is the stable tier (hardware-verified); QMK is beta. Route on the user's intent, load only the references that intent needs, and always ground claims in the user's actual config files rather than assumptions.
## First steps, always
1. Locate the config: a zmk-config repo (`config/*.keymap`, `build.yaml`, `config/west.yml`) or a QMK keymap (`keymap.c` / `keymap.json`, `config.h`, `rules.mk`). Read the keymap fully before advising. 2. Identify the hardware: split, unibody or dongle topology, key count (advice scales with it; see the board archetypes in `references/os-and-locale.md`), pointing devices (ball/trackpad/trackpoint), encoders, displays, wireless or wired. For ZMK splits, determine which unit is central (check `Kconfig.defconfig`, build.yaml, or dongle shields). 3. Identify the platform(s): macOS, Windows, Linux, or several, plus window manager and host keyboard layout (US or international). Modifier ordering, shortcut chords, and keycode-naming advice all depend on this; `references/os-and-locale.md` has the tables. Ask when unclear. 4. Note the firmware version: ZMK release from `west.yml` (e.g. `v0.3`), QMK from the repo. Verify version-sensitive advice against the docs for THAT version (zmk.dev / docs.qmk.fm) instead of asserting from memory. 5. Never guess layer numbers or key positions. Derive the position grid from the physical layout and state it in the response.
## Intents
### Audit ("audit my config", "review my keymap")
Load `references/audit-zmk.md` (or `references/audit-qmk.md`). Produce: a per-layer table of bindings, a combo map, a behavior inventory, then findings ranked by expected payoff, each with a concrete failure scenario and fix. End with a suggested order of work where every step is independently flashable. Deliver as a report the user can keep.
### Apply ("implement recommendation N", "fix my home row mods")
Load `references/behaviors-zmk.md` or `references/behaviors-qmk.md` for the recipe. Make one reversible change at a time. State which half (or halves) must be reflashed. After editing, re-check every hardcoded layer index the change may have shifted.
### Pointing ("trackball", "scroll", "per-layer mouse behavior")
ZMK: load `references/pointing-zmk.md` for motion processing (hardware-verified listener semantics; follow exactly, especially child-node ordering) and `references/devices-zmk.md` for device-specific setup (trackpads, trackpoints, encoders, displays, dongles). All pointing devices share the listener architecture. QMK pointing is deferred in this version: say so, offer general QMK docs guidance, and verify everything against docs.qmk.fm.
### Draw ("diagrams", "visualize my keymap", "README images")
Load `references/diagrams.md`. Use keymap-drawer; set up per-layer SVGs, virtual keys for trackballs/encoders, dark-mode-aware transparent styling, and the CI job that keeps images current.
### Layout ("add Graphite", "try Colemak-DH", "which layout should I learn")
Load `references/layouts.md`. Give honest switching-cost guidance before generating anything. For generation: insert the alpha layer BELOW all function layers, convert raw layer indices to #defines in the same change, carry mods and behaviors over positionally, and use mod-morphs for layouts with custom shift pairs.
### Platform ("use it with my Mac and Windows PC", "German layout", "control my window manager")
Load `references/os-and-locale.md`: per-OS modifier conventions, the BT-profile-plus-OS-layer pattern, window manager chord tables (confirm the user's actual bindings; collision-check dictation and launcher chords), and locale headers via zmk-locale-generator for non-US layouts.
### Debug ("build failed", "keys do the wrong thing", "layer won't deactivate")
Load `references/debug.md` and `references/pitfalls.md`. Match symptoms against the pitfall database first; most field problems are already catalogued there.
## Tier honesty
ZMK content is hardware-verified. QMK content is compile-verified but not hardware-tested; label QMK advice as such when stakes are high, and prefer pointing users at `qmk compile` to validate changes cheaply. Never present untested pointing-device recipes as proven.
## Style
State assumptions explicitly. Prefer small reversible commits over big rewrites. When a recommendation is withdrawn by user context (platform, workflow, physical constraints), record why rather than silently dropping it. Keyboards are personal: audit findings are options with reasoning, not mandates.
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for keymap-ai, ready for a manual X post.
A practical pick for the next repo task: keymap-ai: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuni... 14 stars https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=x
Listing + install path for keymap-ai: https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=x Install: npx skills add johncattrall/keymap-ai --skill keymap-ai
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to johncattrall but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai/audit)
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)johncattrall
@johncattrall
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Do not auto-install
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27.4K StarsDo not auto-install
Install targets
Codex install prompt
Install the "keymap-ai" agent skill from https://github.com/johncattrall/keymap-ai/tree/main/skills/keymap-ai. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input processors, generating keymap-drawer diagrams and CI, adding alternate layouts (Graphite, Colemak-DH, Canary), setting up multi-OS (macOS/Windows/Linux) or international/non-US keymaps, wiring window manager controls, or debugging firmware build errors and layer capture issues. Triggers on keymap, layers, combos, tapping term, split keyboard, or keyboard firmware mentions. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"johncattrall-keymap-ai","task":"Install keymap-ai","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add johncattrall/keymap-ai --skill keymap-ai
Maintenance
fresh
11d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
14
58/100 Quality · 67/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · No security concerns identified; the skill only reads and edits configuration files as requested by the user, with no destructive commands or external downloads.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
14 GitHub stars
Repo activity
14 stars, 0 forks
Maintenance
11d since push
License
MIT
Install
npx skills add johncattrall/keymap-ai --skill keymap-ai
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add johncattrall/keymap-ai --skill keymap-aiDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/johncattrall-keymap-ai/install
Agent should check
Copy prompt
Task: Use keymap-ai in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/johncattrall-keymap-ai/install
Install command: npx skills add johncattrall/keymap-ai --skill keymap-ai
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/johncattrall-keymap-ai/install
LLM text format
/api/skills/johncattrall-keymap-ai/install?format=text
Find alternatives
/api/skills/search?q=keymap-ai&limit=3
Agent prompt
Use keymap-ai for this task. Review https://www.openagentskill.com/api/skills/johncattrall-keymap-ai/install, then install with: npx skills add johncattrall/keymap-ai --skill keymap-aiRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/johncattrall-keymap-ai
LLM text
/api/registry/manifest/johncattrall-keymap-ai?format=text
Install alias
/api/registry/install/johncattrall-keymap-ai
Recommend
/api/registry/recommend?task=Use%20keymap-ai%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX14 GitHub stars
Stars/forks activity
FIX14 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: keymap-ai description: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input processors, generating keymap-drawer diagrams and CI, adding alternate layouts (Graphite, Colemak-DH, Canary), setting up multi-OS (macOS/Windows/Linux) or international/non-US keymaps, wiring window manager controls, or debugging firmware build errors and layer capture issues. Triggers on keymap, layers, combos, tapping term, split keyboard, or keyboard firmware mentions. ---
# keymap-ai
Turn your coding agent into a keyboard firmware expert: field-verified audits, tuning and upgrades for ZMK and QMK keymaps.
ZMK is the stable tier (hardware-verified); QMK is beta. Route on the user's intent, load only the references that intent needs, and always ground claims in the user's actual config files rather than assumptions.
## First steps, always
1. Locate the config: a zmk-config repo (`config/*.keymap`, `build.yaml`, `config/west.yml`) or a QMK keymap (`keymap.c` / `keymap.json`, `config.h`, `rules.mk`). Read the keymap fully before advising. 2. Identify the hardware: split, unibody or dongle topology, key count (advice scales with it; see the board archetypes in `references/os-and-locale.md`), pointing devices (ball/trackpad/trackpoint), encoders, displays, wireless or wired. For ZMK splits, determine which unit is central (check `Kconfig.defconfig`, build.yaml, or dongle shields). 3. Identify the platform(s): macOS, Windows, Linux, or several, plus window manager and host keyboard layout (US or international). Modifier ordering, shortcut chords, and keycode-naming advice all depend on this; `references/os-and-locale.md` has the tables. Ask when unclear. 4. Note the firmware version: ZMK release from `west.yml` (e.g. `v0.3`), QMK from the repo. Verify version-sensitive advice against the docs for THAT version (zmk.dev / docs.qmk.fm) instead of asserting from memory. 5. Never guess layer numbers or key positions. Derive the position grid from the physical layout and state it in the response.
## Intents
### Audit ("audit my config", "review my keymap")
Load `references/audit-zmk.md` (or `references/audit-qmk.md`). Produce: a per-layer table of bindings, a combo map, a behavior inventory, then findings ranked by expected payoff, each with a concrete failure scenario and fix. End with a suggested order of work where every step is independently flashable. Deliver as a report the user can keep.
### Apply ("implement recommendation N", "fix my home row mods")
Load `references/behaviors-zmk.md` or `references/behaviors-qmk.md` for the recipe. Make one reversible change at a time. State which half (or halves) must be reflashed. After editing, re-check every hardcoded layer index the change may have shifted.
### Pointing ("trackball", "scroll", "per-layer mouse behavior")
ZMK: load `references/pointing-zmk.md` for motion processing (hardware-verified listener semantics; follow exactly, especially child-node ordering) and `references/devices-zmk.md` for device-specific setup (trackpads, trackpoints, encoders, displays, dongles). All pointing devices share the listener architecture. QMK pointing is deferred in this version: say so, offer general QMK docs guidance, and verify everything against docs.qmk.fm.
### Draw ("diagrams", "visualize my keymap", "README images")
Load `references/diagrams.md`. Use keymap-drawer; set up per-layer SVGs, virtual keys for trackballs/encoders, dark-mode-aware transparent styling, and the CI job that keeps images current.
### Layout ("add Graphite", "try Colemak-DH", "which layout should I learn")
Load `references/layouts.md`. Give honest switching-cost guidance before generating anything. For generation: insert the alpha layer BELOW all function layers, convert raw layer indices to #defines in the same change, carry mods and behaviors over positionally, and use mod-morphs for layouts with custom shift pairs.
### Platform ("use it with my Mac and Windows PC", "German layout", "control my window manager")
Load `references/os-and-locale.md`: per-OS modifier conventions, the BT-profile-plus-OS-layer pattern, window manager chord tables (confirm the user's actual bindings; collision-check dictation and launcher chords), and locale headers via zmk-locale-generator for non-US layouts.
### Debug ("build failed", "keys do the wrong thing", "layer won't deactivate")
Load `references/debug.md` and `references/pitfalls.md`. Match symptoms against the pitfall database first; most field problems are already catalogued there.
## Tier honesty
ZMK content is hardware-verified. QMK content is compile-verified but not hardware-tested; label QMK advice as such when stakes are high, and prefer pointing users at `qmk compile` to validate changes cheaply. Never present untested pointing-device recipes as proven.
## Style
State assumptions explicitly. Prefer small reversible commits over big rewrites. When a recommendation is withdrawn by user context (platform, workflow, physical constraints), record why rather than silently dropping it. Keyboards are personal: audit findings are options with reasoning, not mandates.
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for keymap-ai, ready for a manual X post.
A practical pick for the next repo task: keymap-ai: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuni... 14 stars https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=x
Listing + install path for keymap-ai: https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=x Install: npx skills add johncattrall/keymap-ai --skill keymap-ai
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to johncattrall but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai/audit)
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)johncattrall
@johncattrall
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Do not auto-install
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
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Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsDo not auto-install
Install targets
Codex install prompt
Install the "keymap-ai" agent skill from https://github.com/johncattrall/keymap-ai/tree/main/skills/keymap-ai. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input processors, generating keymap-drawer diagrams and CI, adding alternate layouts (Graphite, Colemak-DH, Canary), setting up multi-OS (macOS/Windows/Linux) or international/non-US keymaps, wiring window manager controls, or debugging firmware build errors and layer capture issues. Triggers on keymap, layers, combos, tapping term, split keyboard, or keyboard firmware mentions. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"johncattrall-keymap-ai","task":"Install keymap-ai","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add johncattrall/keymap-ai --skill keymap-ai
Maintenance
fresh
11d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
14
58/100 Quality · 67/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · No security concerns identified; the skill only reads and edits configuration files as requested by the user, with no destructive commands or external downloads.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
14 GitHub stars
Repo activity
14 stars, 0 forks
Maintenance
11d since push
License
MIT
Install
npx skills add johncattrall/keymap-ai --skill keymap-ai
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add johncattrall/keymap-ai --skill keymap-aiDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/johncattrall-keymap-ai/install
Agent should check
Copy prompt
Task: Use keymap-ai in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/johncattrall-keymap-ai/install
Install command: npx skills add johncattrall/keymap-ai --skill keymap-ai
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/johncattrall-keymap-ai/install
LLM text format
/api/skills/johncattrall-keymap-ai/install?format=text
Find alternatives
/api/skills/search?q=keymap-ai&limit=3
Agent prompt
Use keymap-ai for this task. Review https://www.openagentskill.com/api/skills/johncattrall-keymap-ai/install, then install with: npx skills add johncattrall/keymap-ai --skill keymap-aiRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/johncattrall-keymap-ai
LLM text
/api/registry/manifest/johncattrall-keymap-ai?format=text
Install alias
/api/registry/install/johncattrall-keymap-ai
Recommend
/api/registry/recommend?task=Use%20keymap-ai%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX14 GitHub stars
Stars/forks activity
FIX14 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: keymap-ai description: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input processors, generating keymap-drawer diagrams and CI, adding alternate layouts (Graphite, Colemak-DH, Canary), setting up multi-OS (macOS/Windows/Linux) or international/non-US keymaps, wiring window manager controls, or debugging firmware build errors and layer capture issues. Triggers on keymap, layers, combos, tapping term, split keyboard, or keyboard firmware mentions. ---
# keymap-ai
Turn your coding agent into a keyboard firmware expert: field-verified audits, tuning and upgrades for ZMK and QMK keymaps.
ZMK is the stable tier (hardware-verified); QMK is beta. Route on the user's intent, load only the references that intent needs, and always ground claims in the user's actual config files rather than assumptions.
## First steps, always
1. Locate the config: a zmk-config repo (`config/*.keymap`, `build.yaml`, `config/west.yml`) or a QMK keymap (`keymap.c` / `keymap.json`, `config.h`, `rules.mk`). Read the keymap fully before advising. 2. Identify the hardware: split, unibody or dongle topology, key count (advice scales with it; see the board archetypes in `references/os-and-locale.md`), pointing devices (ball/trackpad/trackpoint), encoders, displays, wireless or wired. For ZMK splits, determine which unit is central (check `Kconfig.defconfig`, build.yaml, or dongle shields). 3. Identify the platform(s): macOS, Windows, Linux, or several, plus window manager and host keyboard layout (US or international). Modifier ordering, shortcut chords, and keycode-naming advice all depend on this; `references/os-and-locale.md` has the tables. Ask when unclear. 4. Note the firmware version: ZMK release from `west.yml` (e.g. `v0.3`), QMK from the repo. Verify version-sensitive advice against the docs for THAT version (zmk.dev / docs.qmk.fm) instead of asserting from memory. 5. Never guess layer numbers or key positions. Derive the position grid from the physical layout and state it in the response.
## Intents
### Audit ("audit my config", "review my keymap")
Load `references/audit-zmk.md` (or `references/audit-qmk.md`). Produce: a per-layer table of bindings, a combo map, a behavior inventory, then findings ranked by expected payoff, each with a concrete failure scenario and fix. End with a suggested order of work where every step is independently flashable. Deliver as a report the user can keep.
### Apply ("implement recommendation N", "fix my home row mods")
Load `references/behaviors-zmk.md` or `references/behaviors-qmk.md` for the recipe. Make one reversible change at a time. State which half (or halves) must be reflashed. After editing, re-check every hardcoded layer index the change may have shifted.
### Pointing ("trackball", "scroll", "per-layer mouse behavior")
ZMK: load `references/pointing-zmk.md` for motion processing (hardware-verified listener semantics; follow exactly, especially child-node ordering) and `references/devices-zmk.md` for device-specific setup (trackpads, trackpoints, encoders, displays, dongles). All pointing devices share the listener architecture. QMK pointing is deferred in this version: say so, offer general QMK docs guidance, and verify everything against docs.qmk.fm.
### Draw ("diagrams", "visualize my keymap", "README images")
Load `references/diagrams.md`. Use keymap-drawer; set up per-layer SVGs, virtual keys for trackballs/encoders, dark-mode-aware transparent styling, and the CI job that keeps images current.
### Layout ("add Graphite", "try Colemak-DH", "which layout should I learn")
Load `references/layouts.md`. Give honest switching-cost guidance before generating anything. For generation: insert the alpha layer BELOW all function layers, convert raw layer indices to #defines in the same change, carry mods and behaviors over positionally, and use mod-morphs for layouts with custom shift pairs.
### Platform ("use it with my Mac and Windows PC", "German layout", "control my window manager")
Load `references/os-and-locale.md`: per-OS modifier conventions, the BT-profile-plus-OS-layer pattern, window manager chord tables (confirm the user's actual bindings; collision-check dictation and launcher chords), and locale headers via zmk-locale-generator for non-US layouts.
### Debug ("build failed", "keys do the wrong thing", "layer won't deactivate")
Load `references/debug.md` and `references/pitfalls.md`. Match symptoms against the pitfall database first; most field problems are already catalogued there.
## Tier honesty
ZMK content is hardware-verified. QMK content is compile-verified but not hardware-tested; label QMK advice as such when stakes are high, and prefer pointing users at `qmk compile` to validate changes cheaply. Never present untested pointing-device recipes as proven.
## Style
State assumptions explicitly. Prefer small reversible commits over big rewrites. When a recommendation is withdrawn by user context (platform, workflow, physical constraints), record why rather than silently dropping it. Keyboards are personal: audit findings are options with reasoning, not mandates.
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for keymap-ai, ready for a manual X post.
A practical pick for the next repo task: keymap-ai: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuni... 14 stars https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=x
Listing + install path for keymap-ai: https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=x Install: npx skills add johncattrall/keymap-ai --skill keymap-ai
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to johncattrall but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai/audit)
[](https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)johncattrall
@johncattrall
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Do not auto-install
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsDo not auto-install
Install targets
Codex install prompt
Install the "keymap-ai" agent skill from https://github.com/johncattrall/keymap-ai/tree/main/skills/keymap-ai. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input processors, generating keymap-drawer diagrams and CI, adding alternate layouts (Graphite, Colemak-DH, Canary), setting up multi-OS (macOS/Windows/Linux) or international/non-US keymaps, wiring window manager controls, or debugging firmware build errors and layer capture issues. Triggers on keymap, layers, combos, tapping term, split keyboard, or keyboard firmware mentions. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"johncattrall-keymap-ai","task":"Install keymap-ai","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add johncattrall/keymap-ai --skill keymap-ai
Maintenance
fresh
11d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
14
58/100 Quality · 67/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · No security concerns identified; the skill only reads and edits configuration files as requested by the user, with no destructive commands or external downloads.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
14 GitHub stars
Repo activity
14 stars, 0 forks
Maintenance
11d since push
License
MIT
Install
npx skills add johncattrall/keymap-ai --skill keymap-ai
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add johncattrall/keymap-ai --skill keymap-aiDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/johncattrall-keymap-ai/install
Agent should check
Copy prompt
Task: Use keymap-ai in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20keymap-ai%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/johncattrall-keymap-ai/install
Install command: npx skills add johncattrall/keymap-ai --skill keymap-ai
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/johncattrall-keymap-ai/install
LLM text format
/api/skills/johncattrall-keymap-ai/install?format=text
Find alternatives
/api/skills/search?q=keymap-ai&limit=3
Agent prompt
Use keymap-ai for this task. Review https://www.openagentskill.com/api/skills/johncattrall-keymap-ai/install, then install with: npx skills add johncattrall/keymap-ai --skill keymap-aiRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/johncattrall-keymap-ai
LLM text
/api/registry/manifest/johncattrall-keymap-ai?format=text
Install alias
/api/registry/install/johncattrall-keymap-ai
Recommend
/api/registry/recommend?task=Use%20keymap-ai%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX14 GitHub stars
Stars/forks activity
FIX14 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: keymap-ai description: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuning home row mods or hold-taps, adding smart layers (numword, caps word), configuring trackballs, trackpads, trackpoints, encoders and per-layer input processors, generating keymap-drawer diagrams and CI, adding alternate layouts (Graphite, Colemak-DH, Canary), setting up multi-OS (macOS/Windows/Linux) or international/non-US keymaps, wiring window manager controls, or debugging firmware build errors and layer capture issues. Triggers on keymap, layers, combos, tapping term, split keyboard, or keyboard firmware mentions. ---
# keymap-ai
Turn your coding agent into a keyboard firmware expert: field-verified audits, tuning and upgrades for ZMK and QMK keymaps.
ZMK is the stable tier (hardware-verified); QMK is beta. Route on the user's intent, load only the references that intent needs, and always ground claims in the user's actual config files rather than assumptions.
## First steps, always
1. Locate the config: a zmk-config repo (`config/*.keymap`, `build.yaml`, `config/west.yml`) or a QMK keymap (`keymap.c` / `keymap.json`, `config.h`, `rules.mk`). Read the keymap fully before advising. 2. Identify the hardware: split, unibody or dongle topology, key count (advice scales with it; see the board archetypes in `references/os-and-locale.md`), pointing devices (ball/trackpad/trackpoint), encoders, displays, wireless or wired. For ZMK splits, determine which unit is central (check `Kconfig.defconfig`, build.yaml, or dongle shields). 3. Identify the platform(s): macOS, Windows, Linux, or several, plus window manager and host keyboard layout (US or international). Modifier ordering, shortcut chords, and keycode-naming advice all depend on this; `references/os-and-locale.md` has the tables. Ask when unclear. 4. Note the firmware version: ZMK release from `west.yml` (e.g. `v0.3`), QMK from the repo. Verify version-sensitive advice against the docs for THAT version (zmk.dev / docs.qmk.fm) instead of asserting from memory. 5. Never guess layer numbers or key positions. Derive the position grid from the physical layout and state it in the response.
## Intents
### Audit ("audit my config", "review my keymap")
Load `references/audit-zmk.md` (or `references/audit-qmk.md`). Produce: a per-layer table of bindings, a combo map, a behavior inventory, then findings ranked by expected payoff, each with a concrete failure scenario and fix. End with a suggested order of work where every step is independently flashable. Deliver as a report the user can keep.
### Apply ("implement recommendation N", "fix my home row mods")
Load `references/behaviors-zmk.md` or `references/behaviors-qmk.md` for the recipe. Make one reversible change at a time. State which half (or halves) must be reflashed. After editing, re-check every hardcoded layer index the change may have shifted.
### Pointing ("trackball", "scroll", "per-layer mouse behavior")
ZMK: load `references/pointing-zmk.md` for motion processing (hardware-verified listener semantics; follow exactly, especially child-node ordering) and `references/devices-zmk.md` for device-specific setup (trackpads, trackpoints, encoders, displays, dongles). All pointing devices share the listener architecture. QMK pointing is deferred in this version: say so, offer general QMK docs guidance, and verify everything against docs.qmk.fm.
### Draw ("diagrams", "visualize my keymap", "README images")
Load `references/diagrams.md`. Use keymap-drawer; set up per-layer SVGs, virtual keys for trackballs/encoders, dark-mode-aware transparent styling, and the CI job that keeps images current.
### Layout ("add Graphite", "try Colemak-DH", "which layout should I learn")
Load `references/layouts.md`. Give honest switching-cost guidance before generating anything. For generation: insert the alpha layer BELOW all function layers, convert raw layer indices to #defines in the same change, carry mods and behaviors over positionally, and use mod-morphs for layouts with custom shift pairs.
### Platform ("use it with my Mac and Windows PC", "German layout", "control my window manager")
Load `references/os-and-locale.md`: per-OS modifier conventions, the BT-profile-plus-OS-layer pattern, window manager chord tables (confirm the user's actual bindings; collision-check dictation and launcher chords), and locale headers via zmk-locale-generator for non-US layouts.
### Debug ("build failed", "keys do the wrong thing", "layer won't deactivate")
Load `references/debug.md` and `references/pitfalls.md`. Match symptoms against the pitfall database first; most field problems are already catalogued there.
## Tier honesty
ZMK content is hardware-verified. QMK content is compile-verified but not hardware-tested; label QMK advice as such when stakes are high, and prefer pointing users at `qmk compile` to validate changes cheaply. Never present untested pointing-device recipes as proven.
## Style
State assumptions explicitly. Prefer small reversible commits over big rewrites. When a recommendation is withdrawn by user context (platform, workflow, physical constraints), record why rather than silently dropping it. Keyboards are personal: audit findings are options with reasoning, not mandates.
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for keymap-ai, ready for a manual X post.
A practical pick for the next repo task: keymap-ai: Expert assistant for ZMK and QMK keyboard firmware configs. Use when auditing or improving a zmk-config or QMK keymap, tuni... 14 stars https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=x
Listing + install path for keymap-ai: https://www.openagentskill.com/skills/johncattrall-keymap-ai?ref=x Install: npx skills add johncattrall/keymap-ai --skill keymap-ai
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Strong README/SKILL.md context
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Permission surface
filesystem or document access, database access
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No agent outcome data yet
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Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness