vision
Draft and stress-test a VISION.md for a repository, then iterate with the author on an interactive review board until approved. Use on /vision or when asked to create or refine a project vision.
Perfil del activo
Agents de programación y desarrollo
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Escenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Afinidad con Agent
Claude Code + CLI + Codex
Funciona con Codex, Claude Code, Cursor, CLI o Agents personalizados.
Instalar
Listo
npx skills add kunchenguid/vision --skill vision
Mantenimiento
Actual
Actualizado hoy
Riesgo
Seguro para probar
Quality score needs review
Calidad de GitHub
282
71/100 Calidad · 78/100 Confianza
Etiquetas de cobertura
Notas de revisión
Quality score needs review · Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
Tarjeta de adopción del Agent
Confianza, auditoría y preparación de instalación de un vistazo
Estas puntuaciones combinan metadatos públicos del repositorio, señales de revisión de OpenAgentSkill, actualidad de mantenimiento y preparación de instalación. Sirven para preseleccionar; no sustituyen la revisión humana.
Calidad
SólidoSolid option that is likely worth shortlisting for production workflows.
Confianza
Solo sandboxCandidata útil con señales de confianza incompletas o mixtas. Manténgala en un espacio aislado hasta que el ciclo de resultados demuestre el ajuste.
Auditoría
Seguro para probarRevisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.
Trust Score de OpenAgentSkill v5
Revisión humana antes de instalar
Ejecute solo en un sandbox y compare alternativas cercanas antes de usarla en trabajo real.
Estrellas
282 estrellas de GitHub
Actividad del repositorio
282 estrellas y 11 forks
Mantenimiento
Actualizado hoy
Licencia
MIT
Instalar
npx skills add kunchenguid/vision --skill vision
Seguridad de instalación
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
shell or command execution, filesystem or document access
Resultados del Agent
Aún no hay datos de resultados del Agent
Documentación
Contexto sólido de README/SKILL.md
Resumen de riesgo
Revisar antes de producción
- Quality score needs review
- Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
Preparación de instalación
Ruta de instalación disponible
- La ruta de instalación está disponible
- La evidencia del repositorio está disponible
- La licencia está declarada
- Aún no hay evidencia de resultados Agent-Proven
Metadatos legibles por Agent
Datos de decisión legibles por máquina para este skill.
Usa este bloque o el JSON integrado para decidir si un Agent debe instalar este skill, elegir una alternativa o pedir revisión humana primero.
Tareas adecuadas
- flujos de GitHub automation
- Equipos de Claude Code
- builders willing to evaluate younger projects
- Inspect repository metadata
Agents adecuados
Decisión de instalación
- Comando
- npx skills add kunchenguid/vision --skill vision
- Política
- Revisar
- Revisión humana
- Sí
Confianza y riesgo
- Confianza
- 70/100
- Auditoría
- 82/100
- Nivel de riesgo
- Seguro para probar
Ciclo de resultados
- Endpoint
- /api/agent/outcome
- ID del evento
- resolve
- Resultados
- 5
Comando de instalación
npx skills add kunchenguid/vision --skill visionNo usar cuando
- Equipos que necesitan un SLA con soporte del proveedor
- Entornos de alta conformidad sin revisión interna de seguridad
- No OpenAgentSkill engagement data yet
- Indicios de permisos de alto riesgo: ejecución de shell o comandos
- Quality score needs review
Skill alternativo
Code Review
168.6K Estrellas
npx skills add mattpocock/skills --skill code-review
Skill alternativo
Grill With Docs
164.7K Estrellas
npx skills add mattpocock/skills --skill grill-with-docs
Skill alternativo
To Spec
164.7K Estrellas
npx skills add mattpocock/skills --skill to-spec
Skill alternativo
To Tickets
176.7K Estrellas
npx skills add mattpocock/skills --skill to-tickets
Seguridad de Agent v2
54/100 · Evitar instalación automática
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Alto
Ejecución de shell o comandos
Los metadatos del skill hacen referencia a terminal, CLI, shell, subprocesos o flujos de ejecución de comandos.
Medio
Acceso a red
El skill probablemente consulta páginas remotas, API, repositorios o servicios externos.
Medio
Acceso al sistema de archivos
El skill puede leer o escribir archivos de proyecto, documentos, artefactos generados o estado local.
- Indicios de permisos de alto riesgo: ejecución de shell o comandos
- Quality score needs review
Destinos de instalación
Instala este skill en tu flujo de Agent
Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kunchenguid-visionPlan de resolución de Agent
Deja que un Agent valide el ajuste antes de instalar.
La API Resolve devuelve la skill elegida, alternativas, política de seguridad, notas de auditoría, destino de instalación y un prompt listo para usar.
Abrir JSON
/api/agent/resolve?task=Use%20vision%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texto de Resolve
/api/agent/resolve?task=Use%20vision%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Traspaso de instalación
/api/skills/kunchenguid-vision/install
Agent debe revisar
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copiar prompt
Task: Use vision in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20vision%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kunchenguid-vision/install
Install command: npx skills add kunchenguid/vision --skill vision
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Traspaso de Agent
Da al Agent la ruta de instalación, no otro directorio.
Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.
Traspaso de instalación
/api/skills/kunchenguid-vision/install
Formato de texto LLM
/api/skills/kunchenguid-vision/install?format=text
Buscar alternativas
/api/skills/search?q=vision&limit=3
Prompt de Agent
Use vision for this task. Review https://www.openagentskill.com/api/skills/kunchenguid-vision/install, then install with: npx skills add kunchenguid/vision --skill visionMetadatos del Registry
Perfil legible por Agent para seleccionar skills automáticamente.
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Manifest
/api/registry/manifest/kunchenguid-vision
Texto LLM
/api/registry/manifest/kunchenguid-vision?format=text
Alias de instalación
/api/registry/install/kunchenguid-vision
Recomendar
/api/registry/recommend?task=Use%20vision%20in%20an%20agent%20workflow&limit=3
Afinidad con Agent
GitHub automation
Etiquetas de uso
Plataformas
Claude Code
Informe de auditoría
Seguro para probar · 82/100
Revisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.
Panel de decisión de Agent
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Rol en la pila
Candidata de respaldo
Ajuste principal
GitHub automation
Etiqueta de confianza
Prototipar primero
Ruta de instalación
Comando listo
Úsalo cuando
- flujos de GitHub automation
- Equipos de Claude Code
- builders willing to evaluate younger projects
Evidencia
- recent repository activity
- install command or GitHub repo available
- perfil de calidad 71/100
revisar primero
- No OpenAgentSkill engagement data yet
Ruta de implementación
- 1Instálalo en un Agent de sandbox y ejecuta una tarea de GitHub automation de principio a fin.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Perfil de confianza
Solo sandbox
Candidata útil con señales de confianza incompletas o mixtas. Manténgala en un espacio aislado hasta que el ciclo de resultados demuestre el ajuste.
Adopción en GitHub
Info282 estrellas de GitHub
Actividad de stars/forks
Revisar282 estrellas y 11 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
AprobadoActualizado hoy
Claridad de licencia
AprobadoMIT
Señales positivas
- Revisión de IA aprobada
- La ruta de instalación está disponible
- La evidencia del repositorio está disponible
- Repositorio mantenido recientemente
- El comando de instalación no muestra un patrón de alto riesgo evidente
- El ciclo de resultados está listo, pero necesita la primera ejecución real de Agent
Revisar antes de instalar
- Quality score needs review
- Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
- Aún no hay informes reales de resultados del Agent
- Se requiere revisión humana antes de una instalación desatendida
Acción recomendada
Ejecute solo en un sandbox y compare alternativas cercanas antes de usarla en trabajo real.
Perfil de calidad
Sólido candidato para flujos de Agent
Solid option that is likely worth shortlisting for production workflows.
Ajuste de flujo
Usa esta skill en estos escenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Ajuste de flujo
Añadir a un flujo completo
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Lista de alternativas
Compara antes de instalar
Similar skills that may fit this task.
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
To Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
Resumen
--- name: vision description: > Draft and stress-test a VISION.md for a repository, then iterate with the author on an interactive review board until approved. Use on /vision or when asked to create or refine a project vision. user-invocable: true metadata: short-description: "Evidence-mined, stress-tested VISION.md for any repo" ---
# /vision
You are running the **vision** skill. Produce a VISION.md the author can approve: an acceptance policy for the project's future, grounded in what they actually build, and sharpened by hypotheticals they answer on an interactive review board.
This is not a writing exercise. Follow this file top to bottom.
## Host requirement
You need read access to the target repository and its real history:
- Prefer merged-PR history via a GitHub-class CLI (gh, gh-axi). - If PRs are not accessible, fall back to git commit history on the default branch (git log): titles and messages still reveal what the author builds. - Only if no real history is readable at all, **stop** and say so. Never fabricate the author's values, PR titles, or evidence. A vision built on invented evidence is worse than no vision.
The review loop runs on lavish-axi, executed directly through `npx -y lavish-axi` - no install requirement. Simply try to launch it, and report a blocker only if the launch itself fails.
## Hard rules
1. **Evidence over vibes.** Every principle in the draft must be traceable to concrete evidence: named PRs or commits, files, docs, or the author's recorded answers. Generic engineering virtues ("we value quality") are banned unless the history demonstrates them specifically. 2. **Check for an existing VISION.md first.** If one exists on the default branch, switch to delta mode: treat it as the approved baseline, propose line-level candidate changes from evidence newer than it, and never write a competing document. 3. **The author owns the vision.** You draft, stress-test, and fold in their verdicts; you never approve, never soften a hypothetical to please, and never fold in a principle they did not state or demonstrate. 4. **A vision is an acceptance policy.** Write testable accept/resist criteria in declarative present tense, with explicit non-goals, so a future reader, human or agent, can apply them to a concrete change. 5. **No softball hypotheticals.** Each one must sit on a genuine fault line where yes and no are both defensible, with both sides steelmanned. If you can predict the author's answer, replace the hypothetical. 6. **The review loop runs on lavish-axi, from the shipped template.** Draft and hypotheticals are presented as one board built from `assets/review-template.html` + `assets/review.css`, used as-is: black ink on white paper set like literature, full draft always fully visible, one hypothetical at a time in a card stack. Fill the template's slots; never restyle or restructure it, and never substitute another review surface. 7. **Iterate in batches, trace every edit.** Each author verdict maps to a named edit in a changelog; the author must be able to see exactly how their answer changed the text. 8. **Formatting.** One sentence per line. Plain hyphens, never em dashes. No roadmap, no feature list, no marketing voice.
## Pipeline
### Step 0 - Parse target and author
- Target repo: current working directory by default, or an explicit owner/repo. - Author: the person whose vision this is; default to the repo owner. Their merged work is the evidence base. - Ask one short question if the target or author is genuinely ambiguous.
### Step 1 - Learn the pattern
A VISION.md has a stable anatomy; hold the draft to it:
- Identity opener: "X exists so that ...", who it serves, and "It owns exactly one thing: ...". - 3-6 principle sections with short declarative headings, each a set of testable present-tense commitments and refusals. - Explicit non-goals, named concretely ("it is not a CI system, not a ..."). - A closing pair of tests: "A change aligns when ..." and "A change should be resisted when ...", concrete enough to apply to a real PR. - Voice: declarative, present tense, zero marketing; length 40-70 lines.
If the author names exemplar visions, read them; note shape, voice, length.
### Step 2 - Existing-vision check
- If the default branch has a VISION.md: delta mode (hard rule 2). Diff its age against the history and propose only evidence-backed candidate additions or edits, each independently acceptable. - If not: from-scratch mode.
### Step 3 - Mine the evidence
- Repo analysis: README identity claims, architecture, stated non-goals, refusal paths, test discipline. - History mining: list the author's merged PRs, aim for 30-100 titles, and read 8-15 full bodies spread across the range (for example `gh pr list --author <owner> --state merged --limit 100`, or the gh-axi equivalent). If PRs are inaccessible, walk default-branch commit history instead (`git log --author=<owner>`), reading messages for the same signal. - Extract recurring revealed values: what gets built, what gets refused, what class of bug gets fixed at the root, what the author writes in intent statements. - Produce a private evidence sheet: value -> supporting PRs, commits, or files. This sheet is the source of truth for every drafted line.
### Step 4 - Draft
- Follow the step 1 anatomy and the output template below. - Every line must map to the evidence sheet. Length target: 40-70 lines. - Delta mode instead yields: baseline unchanged + a numbered list of candidate line additions/edits, each with its evidence.
### Step 5 - Design the hypotheticals
- 8-12 concrete change proposals per vision, aimed at the draft's fault lines. Draw from this taxonomy: - tempting-but-off-mission features the author will plausibly be asked for; - principle collisions (simplicity vs capability, safety vs speed, generality vs focus, cost vs quality); - slippery slopes, where one reasonable step normalizes the next; - scope expansions (new users, new content types, new hosts, teams); - identity questions the draft leaves open. - Format per hypothetical: id, title, the concrete proposal (2-4 sentences), the principle it tests (quote the draft), and why the answer is non-obvious (steelman both sides). - Quality gate: delete and replace any hypothetical whose answer you can predict.
### Step 6 - Review loop (lavish-axi, from the shipped template)
- Copy `assets/review-template.html` and `assets/review.css` next to each other, then fill only the template's marked slots: project name, run note, the full DRAFT markdown, and the CARDS array (id, title, proposal, tested principle, both-sides steelman per card). - Change nothing else: the template already carries the house structure - full draft on the left, one card at a time on the right, the steelman in full view, one queued verdict per card - so no boilerplate is rewritten and no run is restyled. - Launch with `npx -y lavish-axi <board.html>`, report the URL, then wait on `npx -y lavish-axi poll <board.html>`; answers arrive as queued verdicts. - On each batch: record the verdicts verbatim in a durable answers file, distill the principles they reveal, fold every verdict into the draft, update the board in place (new draft text, remaining cards), and reply through `poll --agent-reply` with a changelog line per verdict ("H-7 no -> authority section now opens with ..."). - Continue until the author approves or ends the session. Do not approve on their behalf; do not treat silence as approval.
### Step 7 - Finish
- Deliver: the approved VISION.md text (or approved delta), the full hypothetical set with recorded verdicts and reasoning, and the changelog. - The answers file is durable calibration material; tell the author to keep it next to the vision.
## Output template (from-scratch mode)
# Vision
`{project}` exists so that {the one-sentence reason the project exists}. It serves {the named user}, and it {what it turns their input into}. It owns exactly one thing: {the single owned surface}.
## {Principle section, 3-6 of these}
{Declarative, testable, present-tense lines; one sentence per line.} {Explicit boundaries: what is welcome, what is refused, and why.}
## Scope
{What this project is not, named concretely.} {Where personal/private material stays, if applicable.} {How the repo holds itself to its own standard, if applicable.}
A change aligns when {testable positive criteria}. A change should be resisted when {testable negative criteria}.
## Pre-flight checklist (before drafting)
- [ ] Target repo and author resolved - [ ] Existing VISION.md checked (mode chosen) - [ ] Evidence sheet built from real PRs or commits (no invented evidence)
## Pre-approval checklist (before the author signs off)
- [ ] Every drafted line traces to the evidence sheet or a recorded verdict - [ ] 8-12 hypotheticals, none predictable, both sides steelmanned - [ ] Every author verdict folded in with a traced changelog line - [ ] Answers file saved next to the vision
Detalles técnicos
- Versión
- 1.0.0
- Licencia
- MIT
- Última actualización
- 23 ago 2026
- Publicado
- 23 ago 2026
Resumen de decisión
Candidata de respaldo
recent repository activity
Auditoría
Revisión de instalación
Revisión de instalación y adopción
- Seguridad
- 83/100
- Mantenimiento
- 100/100
- Instalar
- 92/100
Evidencia probada por Agent
Evidencia probada por Agent
Informes de resultados tras resolver, revisar, instalar y una ejecución limitada.
- Tasa de éxito
- —
- Fallo reciente
- —
- Resultados
- 0
- Calidad de salida
- —
- Fallidos
- 0
- No relevante
- 0
- Instalaciones
- 0
- Bloqueado por riesgo
- 0
- Configuración necesaria
- 0
- Producción
- 0
Aún no hay datos de resultados de Agent. La primera ejecución puede informar éxito, configuración necesaria, bloqueos de riesgo, fallo o irrelevancia mediante /api/agent/outcome.
Instalar
Añadir al flujo de Agent
Gratis y de código abierto. Revisa el informe antes de instalar en Agents de producción.
Bucle de crecimiento
Kit para compartir
Borrador basado en un caso para vision, listo para publicar manualmente en X.
vision: Draft and stress-test a VISION.md for a repository, then iterate with the author on an intera... 282 stars https://www.openagentskill.com/skills/kunchenguid-vision?ref=x
Respuesta opcional con comando de instalación
Listing + install path for vision: https://www.openagentskill.com/skills/kunchenguid-vision?ref=x Install: npx skills add kunchenguid/vision --skill vision
Fuente de la ficha
Indexado por Registry
Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.
- Creador
- kunchenguid
- Fuente
- kunchenguid/vision
- Indexado por
- Índice comunitario de OpenAgentSkill
La atribución enlaza al repositorio público o al perfil del creador. Los creadores pueden reclamar la ficha para actualizar las señales de propiedad.
Reclamar este skillReclamación del propietario
Reclamar esta ficha de skill
Esta ficha Indexado por Registry se atribuye a kunchenguid, pero aún no está marcada como oficial. Reclámala para añadir una señal de propietario verificado y hacer más fiables futuras actualizaciones de lanzamiento, instalación y auditoría.
Kit de enlaces para creadores
Añade las insignias de evidencia a tu README
Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.
[](https://www.openagentskill.com/skills/kunchenguid-vision)
[](https://www.openagentskill.com/skills/kunchenguid-vision)
[](https://www.openagentskill.com/skills/kunchenguid-vision/audit)
[](https://www.openagentskill.com/skills/kunchenguid-vision)Autor
kunchenguid
@kunchenguid
Etiquetas
Afinidad con plataforma
Señales de salud
- Estrellas de GitHub
- 282
- Puntuación de calidad
- 40/100
- Último push de GitHub
- 23 ago 2026
- Pistas del framework
- Desconocido
- Vistas de OpenAgentSkill
- 0
- Copias de instalación
- 0
- Clics externos
- 0
Señal de comunidad
Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.
Confianza y seguridad
Solo sandbox
- Adopción en GitHub282 estrellas de GitHubInfo
- Actividad de stars/forks282 estrellas y 11 forks; la actividad de issues no está disponible en los metadatos actualesRevisar
- Mantenimiento recienteActualizado hoyAprobado
- Claridad de licenciaMITAprobado
- Completitud de README/SKILL.mdLos metadatos incluyen suficiente contexto de uso y flujo de trabajoAprobado
- Riesgo de dependencias/runtimeSuperficie de ejecución de comandosInfo
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