cli-ux: Design & UI for AI Agents | OpenAgentSkill

Overview

Design, implement, or review a command-line interface when its user-facing command contract, interaction behavior, automation output, credentials, or mutation safety is the primary concern. For a bounded CLI mismatch or bug, apply only the relevant contract guidance; do not expand it into a full CLI or authentication redesign.

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CLI UX

Design one CLI with two deliberate modes:

optimize interactive use for discoverability, concise defaults, and safe recovery;
optimize automated use for predictability, bounded context, explicit contracts, and defense in depth.

Keep the CLI self-contained. Do not require an MCP server or companion agent skill. Make the installed CLI capable of describing and safely exercising its own exact-version contract.

Apply this skill proportionally. The requested CLI outcome and concrete risks created by the changed command define the blocking criteria. The remaining sections are design options and review lenses, not a demand to redesign every CLI surface. Stop when the named contract is corrected and focused process or contract tests prove it; report adjacent improvements as follow-ups.

Define one typed command contract

For a new CLI or a command family whose contract is duplicated across surfaces, prefer modeling each command once in a checked-in, versioned registry. Derive these surfaces from it where practical:

parsing and validation;
human-readable help and examples;
machine-readable schema or describe output;
request construction;
structured success and error output;
tests.

Keep schema introspection deterministic and available offline. Include command names, inputs, types, constraints, defaults, conflicts, environment variables, output schemas, exit codes, side effects, and stability status. Do not let help text, validation, and machine schemas become independent sources of truth.

Design the input graph before prompts

Classify inputs in dependency order:

execution mode: interactive TTY or non-interactive;
non-secret selectors and identity fields;
mutually exclusive or conditionally required fields;
local files, configuration, and expected-state constraints;
authorization and confirmation inputs;
secrets;
remote reads and external side effects.

Resolve and validate each layer before moving to the next. Never collect a secret only to report an earlier non-secret error.

For a login command accepting exactly one of --username or --email:

parse flags
-> reject both username and email
-> if neither is present:
   interactive: ask for username or email
   non-interactive: fail with usage and remediation
-> normalize and validate the identity
-> only now prompt for the password
-> authenticate

Hard invariant:

Never display Password: before the command knows which account is being authenticated.

Good:

$ sf auth login
Username or email: user@example.com
Password: ********

Do not infer an identity from unrelated machine state unless documented as an explicit precedence rule.

Support human flags and full-fidelity JSON

Offer ergonomic flags for common operations. For complex requests, also accept one raw JSON value or file that maps to the typed request model without losing nested or newly added API fields.

Use a shape such as:

tool resource create --name demo --region iad
tool resource create --json request.json

Reject ambiguous combinations of raw JSON and request-building flags. Do not deep-merge them or invent hidden precedence. Validate both paths with the same schema and construct the same internal request type.

Do not accept passwords, tokens, or other secrets as ordinary command-line arguments when a safer prompt, stdin, environment, credential file, or credential-store path exists.

Separate interactive and automated contracts

Use deterministic input precedence, normally:

explicit flag > documented environment variable > stored non-secret preference > interactive prompt

Never prompt when stdout or stdin is non-interactive, when a machine-readable mode is selected, or when a no-input option is active. Fail before reading secret input if required non-secret inputs are missing.

Use human-readable output on an interactive TTY and stable JSON or NDJSON when output is piped. Provide explicit overrides such as --output human|json|ndjson; preserve compatibility before changing an existing command's default.

For machine-readable output:

emit data only on stdout;
emit diagnostics on stderr;
never include terminal decoration or progress spinners;
return documented nonzero exit codes;
keep success and error envelopes schema-stable;
include actionable remediation without exposing secrets.

Bound output without hiding data

Protect both terminals and agent context windows:

use bounded default page sizes;
expose opaque continuation cursors;
support field selection or projections for large resources;
stream multi-page results as NDJSON where appropriate;
report truncation and the continuation mechanism explicitly;
never silently discard results.

Avoid fetching every page before emitting the first result. Ensure cancellation stops further requests and leaves stdout syntactically valid for the documented format.

Separate human and agent authentication

Share authorization semantics while supporting distinct credential-acquisition paths:

allow browser, password, device, or keychain flows for interactive humans as appropriate;
allow narrowly scoped tokens, service identities, injected environment variables, credential files, or stdin for automation;
never unexpectedly open a browser or prompt during automated execution;
report credential source and effective scope without printing the credential;
fail closed on expired, revoked, malformed, or insufficiently scoped credentials.

Request the least authority required for the selected command. Do not make a broad human session the implicit automation credential.

Make authentication state obvious and portable

Treat authentication as a stateful workflow, not only a credential-acquisition prompt.

Before asking for an identity or password, perform a read-only current-session check when a stored credential is available. If the session is valid:

say who is already authenticated, such as Already logged in as alice.;
avoid prompts, network mutations, and needless credential replacement;
exit successfully and expose authenticated plus already_authenticated in structured output;
provide an explicit escape hatch such as --force or --relogin for intentional replacement;
if an explicit identity was supplied and it differs from the current identity, continue through the normal login flow rather than silently switching accounts.

When a host keychain is invisible to a sandbox but the user and sandbox share a filesystem, make shared per-user storage the default for the sandbox-compatible path. Protect the directory and file (0700/0600), never print the bearer, record expiry metadata when available, and ignore expired or malformed entries. Keep host-only keychain storage as an explicit opt-in when it is appropriate.

Document and test a deterministic credential-read waterfall. A useful default is:

process-scoped environment token
-> shared user credential file
-> host OS keychain
-> unauthenticated

Resolve the selected base URL before looking up origin-scoped credentials. Report the active source and server-confirmed identity without revealing the secret. Make logout clear every local store in the documented scope, while clearly stating that local deletion does not revoke a remote credential.

Optional opportunity scan

For a CLI design or broad review, select the questions that can materially affect the requested outcome. A one-line help mismatch, parser bug, or focused output fix does not require this scan or adjacent auth, pagination, recovery, portability, and accessibility work.

Already complete: Can the command detect that the requested state already exists and say so instead of duplicating work?
Intent and defaults: Are common safe actions concise, and are risky or scope-expanding choices explicit?
Preflight: Can local validation, auth checks, target resolution, and confirmations happen before secrets or network mutations?
Recovery: Does failure name the phase, explain whether retry is safe, and give one exact next command?
Idempotency: Can interrupted or repeated commands resume or safely no-op using an idempotency key or expected-state fence?
State visibility: Can users inspect current config, credential source, selected target, effective defaults, and progress without leaking secrets?
Output fit: Does a human get a concise explanation while an agent gets stable JSON/NDJSON, documented fields, and useful exit codes?
Environment portability: Does the command behave predictably across TTYs, CI, containers, sandboxes, operating systems, and missing optional integrations?
Discoverability: Do help, examples, aliases, shell completion, and typo suggestions expose the canonical safe path?
Destructive actions: Are previews, confirmations, dry runs, backups, and undo/revoke paths available in proportion to the risk?
Performance: Is progress visible for slow work, are results bounded, and are cancellation and resume semantics clear?
Accessibility: Does output remain legible without color, terminal control sequences, mouse interaction, or a particular shell?

Treat findings outside the requested contract as follow-up opportunities. Implement one only when necessary for correctness or to mitigate a concrete risk created by the current change. Test at the process boundary when the change affects prompts, stdout/stderr, exit codes, or credential resolution.

Use risk-triggered mutation controls

Before a destructive, costly, privilege-changing, or externally consequential mutation, validate the locally knowable facts that can prevent the named harm:

syntax, types, conflicts, and required inputs;
local files and configuration;
authentication identity and required scope;
confirmation and non-interactive safety options;
expected resource version or state;
whether the requested operation is already complete.

Provide --dry-run when previewing the resolved target and effect materially reduces mutation risk. Make it share parsing, normalization, local validation, request construction, authorization planning, and output-shaping paths without performing the mutation. Clearly distinguish locally proven checks from server-dependent checks that were skipped. A harmless idempotent update does not need a ceremonial dry run merely because it uses the network.

Use idempotency keys for retryable creates and expected-state or version fencing for destructive or concurrency-sensitive operations. Make retry safety explicit. Do not use universal interactive confirmations as a substitute for idempotency and preconditions.

Defend against agent-shaped input mistakes

When a changed command accepts generated or otherwise untrusted identifiers and path-like values, validate them before transport. Select adversarial cases that match the accepted grammar and sink, such as:

.., absolute paths, and separator confusion;
control characters, newlines, NULs, and terminal escapes;
leading hyphens and option injection;
embedded ?, #, /, and backslashes in identifiers;
raw %, invalid escapes, and double encoding;
Unicode normalization and confusable characters;
oversized strings, arrays, and request bodies.

Reject invalid input locally with the field name, constraint, and safe retry shape. Do not silently strip or reinterpret suspicious characters. Encode individual path segments exactly once at the HTTP boundary; never interpolate unchecked identifiers into URLs or filesystem paths.

Treat r

View source ↗

File metadata

name: cli-ux
description: Design, implement, or review a command-line interface when its user-facing command contract, interaction behavior, automation output, credentials, or mutation safety is the primary concern. For a bounded CLI mismatch or bug, apply only the relevant contract guidance; do not expand it into a full CLI or authentication redesign.

View original text

---
name: cli-ux
description: Design, implement, or review a command-line interface when its user-facing command contract, interaction behavior, automation output, credentials, or mutation safety is the primary concern. For a bounded CLI mismatch or bug, apply only the relevant contract guidance; do not expand it into a full CLI or authentication redesign.
---

# CLI UX

Design one CLI with two deliberate modes:

- optimize interactive use for discoverability, concise defaults, and safe recovery;
- optimize automated use for predictability, bounded context, explicit contracts, and defense in depth.

Keep the CLI self-contained. Do not require an MCP server or companion agent skill. Make the installed CLI capable of describing and safely exercising its own exact-version contract.

Apply this skill proportionally. The requested CLI outcome and concrete risks
created by the changed command define the blocking criteria. The remaining
sections are design options and review lenses, not a demand to redesign every
CLI surface. Stop when the named contract is corrected and focused process or
contract tests prove it; report adjacent improvements as follow-ups.

## Define one typed command contract

For a new CLI or a command family whose contract is duplicated across surfaces,
prefer modeling each command once in a checked-in, versioned registry. Derive
these surfaces from it where practical:

- parsing and validation;
- human-readable help and examples;
- machine-readable `schema` or `describe` output;
- request construction;
- structured success and error output;
- tests.

## Design the input graph before prompts

Classify inputs in dependency order:

1. execution mode: interactive TTY or non-interactive;
2. non-secret selectors and identity fields;
3. mutually exclusive or conditionally required fields;
4. local files, configuration, and expected-state constraints;
5. authorization and confirmation inputs;
6. secrets;
7. remote reads and external side effects.

Resolve and validate each layer before moving to the next. Never collect a secret only to report an earlier non-secret error.

For a login command accepting exactly one of `--username` or `--email`:

```text
parse flags
-> reject both username and email
-> if neither is present:
interactive: ask for username or email
non-interactive: fail with usage and remediation
-> normalize and validate the identity
-> only now prompt for the password
-> authenticate
```

Hard invariant:

> Never display `Password:` before the command knows which account is being authenticated.

Good:

```text
$ sf auth login
Username or email: user@example.com
Password: ********
```

Do not infer an identity from unrelated machine state unless documented as an explicit precedence rule.

## Support human flags and full-fidelity JSON

Offer ergonomic flags for common operations. For complex requests, also accept one raw JSON value or file that maps to the typed request model without losing nested or newly added API fields.

Use a shape such as:

```text
tool resource create --name demo --region iad
tool resource create --json request.json
```

Do not accept passwords, tokens, or other secrets as ordinary command-line arguments when a safer prompt, stdin, environment, credential file, or credential-store path exists.

## Separate interactive and automated contracts

Use deterministic input precedence, normally:

```text
explicit flag > documented environment variable > stored non-secret preference > interactive prompt
```

Use human-readable output on an interactive TTY and stable JSON or NDJSON when output is piped. Provide explicit overrides such as `--output human|json|ndjson`; preserve compatibility before changing an existing command's default.

For machine-readable output:

- emit data only on stdout;
- emit diagnostics on stderr;
- never include terminal decoration or progress spinners;
- return documented nonzero exit codes;
- keep success and error envelopes schema-stable;
- include actionable remediation without exposing secrets.

## Bound output without hiding data

Protect both terminals and agent context windows:

- use bounded default page sizes;
- expose opaque continuation cursors;
- support field selection or projections for large resources;
- stream multi-page results as NDJSON where appropriate;
- report truncation and the continuation mechanism explicitly;
- never silently discard results.

Avoid fetching every page before emitting the first result. Ensure cancellation stops further requests and leaves stdout syntactically valid for the documented format.

## Separate human and agent authentication

Share authorization semantics while supporting distinct credential-acquisition paths:

- allow browser, password, device, or keychain flows for interactive humans as appropriate;
- allow narrowly scoped tokens, service identities, injected environment variables, credential files, or stdin for automation;
- never unexpectedly open a browser or prompt during automated execution;
- report credential source and effective scope without printing the credential;
- fail closed on expired, revoked, malformed, or insufficiently scoped credentials.

Request the least authority required for the selected command. Do not make a broad human session the implicit automation credential.

## Make authentication state obvious and portable

Treat authentication as a stateful workflow, not only a credential-acquisition prompt.

Before asking for an identity or password, perform a read-only current-session check when a stored credential is available. If the session is valid:

- say who is already authenticated, such as `Already logged in as alice.`;
- avoid prompts, network mutations, and needless credential replacement;
- exit successfully and expose `authenticated` plus `already_authenticated` in structured output;
- provide an explicit escape hatch such as `--force` or `--relogin` for intentional replacement;
- if an explicit identity was supplied and it differs from the current identity, continue through the normal login flow rather than silently switching accounts.

When a host keychain is invisible to a sandbox but the user and sandbox share a filesystem, make shared per-user storage the default for the sandbox-compatible path. Protect the directory and file (`0700`/`0600`), never print the bearer, record expiry metadata when available, and ignore expired or malformed entries. Keep host-only keychain storage as an explicit opt-in when it is appropriate.

Document and test a deterministic credential-read waterfall. A useful default is:

```text
process-scoped environment token
-> shared user credential file
-> host OS keychain
-> unauthenticated
```

## Optional opportunity scan

For a CLI design or broad review, select the questions that can materially
affect the requested outcome. A one-line help mismatch, parser bug, or focused
output fix does not require this scan or adjacent auth, pagination, recovery,
portability, and accessibility work.

- **Already complete:** Can the command detect that the requested state already exists and say so instead of duplicating work?
- **Intent and defaults:** Are common safe actions concise, and are risky or scope-expanding choices explicit?
- **Preflight:** Can local validation, auth checks, target resolution, and confirmations happen before secrets or network mutations?
- **Recovery:** Does failure name the phase, explain whether retry is safe, and give one exact next command?
- **Idempotency:** Can interrupted or repeated commands resume or safely no-op using an idempotency key or expected-state fence?
- **State visibility:** Can users inspect current config, credential source, selected target, effective defaults, and progress without leaking secrets?
- **Output fit:** Does a human get a concise explanation while an agent gets stable JSON/NDJSON, documented fields, and useful exit codes?
- **Environment portability:** Does the command behave predictably across TTYs, CI, containers, sandboxes, operating systems, and missing optional integrations?
- **Discoverability:** Do help, examples, aliases, shell completion, and typo suggestions expose the canonical safe path?
- **Destructive actions:** Are previews, confirmations, dry runs, backups, and undo/revoke paths available in proportion to the risk?
- **Performance:** Is progress visible for slow work, are results bounded, and are cancellation and resume semantics clear?
- **Accessibility:** Does output remain legible without color, terminal control sequences, mouse interaction, or a particular shell?

Treat findings outside the requested contract as follow-up opportunities.
Implement one only when necessary for correctness or to mitigate a concrete
risk created by the current change. Test at the process boundary when the
change affects prompts, stdout/stderr, exit codes, or credential resolution.

## Use risk-triggered mutation controls

Before a destructive, costly, privilege-changing, or externally consequential
mutation, validate the locally knowable facts that can prevent the named harm:

- syntax, types, conflicts, and required inputs;
- local files and configuration;
- authentication identity and required scope;
- confirmation and non-interactive safety options;
- expected resource version or state;
- whether the requested operation is already complete.

Provide `--dry-run` when previewing the resolved target and effect materially
reduces mutation risk. Make it share parsing, normalization, local validation,
request construction, authorization planning, and output-shaping paths without
performing the mutation. Clearly distinguish locally proven checks from
server-dependent checks that were skipped. A harmless idempotent update does
not need a ceremonial dry run merely because it uses the network.

## Defend against agent-shaped input mistakes

When a changed command accepts generated or otherwise untrusted identifiers and
path-like values, validate them before transport. Select adversarial cases that
match the accepted grammar and sink, such as:

- `..`, absolute paths, and separator confusion;
- control characters, newlines, NULs, and terminal escapes;
- leading hyphens and option injection;
- embedded `?`, `#`, `/`, and backslashes in identifiers;
- raw `%`, invalid escapes, and double encoding;
- Unicode normalization and confusable characters;
- oversized strings, arrays, and request bodies.

## Treat r

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 156 stars, 9 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.

Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: swyxio/skills
License: MIT
Version: 1.0.0
Last GitHub push: Sep 3, 2026
Registry updated: Sep 6, 2026
Instruction path: cli-ux/SKILL.md @ 79df950293f8

Version reported in registry metadata; check source releases before relying on it.

Quality

69/100

Promising

Trust

64/100

Sandbox only

Agent access

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.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    ]
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  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 78,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 156 stars, 9 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 69,
    "label": "Promising"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Coding agents",
    "maintenance": "19d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "emilkowalski-apple-design",
      "name": "Apple Design",
      "url": "https://www.openagentskill.com/skills/emilkowalski-apple-design",
      "stars": 34452,
      "install_command": "npx skills@latest add emilkowalski/skills",
      "trust_score": 93,
      "audit_score": 94
    },
    {
      "slug": "anthropic-frontend-design",
      "name": "Frontend Design",
      "url": "https://www.openagentskill.com/skills/anthropic-frontend-design",
      "stars": 177672,
      "install_command": "npx skills add anthropics/skills --skill frontend-design",
      "trust_score": 91,
      "audit_score": 93
    },
    {
      "slug": "design-taste-frontend",
      "name": "Taste Skill: Anti-Slop Frontend",
      "url": "https://www.openagentskill.com/skills/design-taste-frontend",
      "stars": 89359,
      "install_command": "npx skills add Leonxlnx/taste-skill --skill design-taste-frontend",
      "trust_score": 94,
      "audit_score": 96
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "Financial research output is not financial advice; require human review before any live investment decision."
  ],
  "agent_contract": {
    "task_input": "Use cli-ux in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 72/100 Strong shortlist",
      "Audit: 78/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "swyxio-cli-ux (cli-ux)",
      "install_command": "npx skills add swyxio/skills --skill cli-ux",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "swyxio-cli-ux",
      "task": "Use cli-ux in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/swyxio-cli-ux",
    "api": "https://www.openagentskill.com/api/agent/skills/swyxio-cli-ux",
    "audit": "https://www.openagentskill.com/skills/swyxio-cli-ux/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=swyxio-cli-ux&task=Use%20cli-ux%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20cli-ux%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20cli-ux%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/swyxio-cli-ux/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/swyxio-cli-ux"
  }
}

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Creator: swyxio
Source: swyxio/skills
Indexed by: OpenAgentSkill community index

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