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.
Profil aset
Agent pemrograman dan pengembangan
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Skenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Kecocokan Agent
Claude Code + CLI + Codex
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add kunchenguid/vision --skill vision
Pemeliharaan
Terkini
Diperbarui hari ini
Risiko
Aman untuk dicoba
Quality score needs review
Kualitas GitHub
282
71/100 Kualitas · 78/100 Kepercayaan
Tag cakupan
Catatan ulasan
Quality score needs review · Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
Kartu adopsi Agent
Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat
Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.
Kualitas
KuatSolid option that is likely worth shortlisting for production workflows.
Kepercayaan
Hanya sandboxKandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Audit
Aman untuk dicobaTinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Trust Score OpenAgentSkill v5
Tinjauan manusia sebelum pemasangan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Star
282 star GitHub
Aktivitas repositori
282 star dan 11 fork
Pemeliharaan
Diperbarui hari ini
Lisensi
MIT
Pasang
npx skills add kunchenguid/vision --skill vision
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
shell or command execution, filesystem or document access
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Konteks README/SKILL.md kuat
Ringkasan risiko
Tinjau sebelum produksi
- Quality score needs review
- Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
Kesiapan pemasangan
Jalur pemasangan tersedia
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Lisensi dinyatakan
- Belum ada bukti hasil Agent-Proven
Metadata yang dapat dibaca Agent
Data keputusan yang dapat dibaca mesin untuk skill ini.
Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.
Tugas yang sesuai
- alur kerja GitHub automation
- Tim Claude Code
- builders willing to evaluate younger projects
- Inspect repository metadata
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add kunchenguid/vision --skill vision
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 70/100
- Audit
- 82/100
- Tingkat risiko
- Aman untuk dicoba
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add kunchenguid/vision --skill visionJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- Lingkungan berkompliansi tinggi tanpa tinjauan keamanan internal
- No OpenAgentSkill engagement data yet
- Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
- Quality score needs review
Skill alternatif
Code Review
168.6K Star
npx skills add mattpocock/skills --skill code-review
Skill alternatif
Grill With Docs
164.7K Star
npx skills add mattpocock/skills --skill grill-with-docs
Skill alternatif
To Spec
164.7K Star
npx skills add mattpocock/skills --skill to-spec
Skill alternatif
To Tickets
176.7K Star
npx skills add mattpocock/skills --skill to-tickets
Keamanan Agent v2
54/100 · Hindari pemasangan otomatis
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Tinggi
Eksekusi shell atau perintah
Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.
Sedang
Akses jaringan
Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.
Sedang
Akses sistem file
Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.
- Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
- Quality score needs review
Target pemasangan
Pasang skill ini di alur Agent Anda
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
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-visionRencana resolusi Agent
Biarkan Agent memverifikasi kecocokan sebelum memasang.
API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.
Buka JSON
/api/agent/resolve?task=Use%20vision%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20vision%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/kunchenguid-vision/install
Agent harus memeriksa
- 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.
Salin 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.Serah-terima Agent
Berikan jalur pemasangan kepada Agent, bukan direktori lain.
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
Serah-terima pemasangan
/api/skills/kunchenguid-vision/install
Format teks LLM
/api/skills/kunchenguid-vision/install?format=text
Cari alternatif
/api/skills/search?q=vision&limit=3
Prompt 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 visionMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/kunchenguid-vision
Teks LLM
/api/registry/manifest/kunchenguid-vision?format=text
Alias pemasangan
/api/registry/install/kunchenguid-vision
Rekomendasikan
/api/registry/recommend?task=Use%20vision%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
GitHub automation
Platform
Claude Code
Laporan audit
Aman untuk dicoba · 82/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Peran di stack
Kandidat cadangan
Kecocokan utama
GitHub automation
Label kepercayaan
Buat prototipe dulu
Jalur pemasangan
Perintah siap
Gunakan saat
- alur kerja GitHub automation
- Tim Claude Code
- builders willing to evaluate younger projects
Bukti
- recent repository activity
- install command or GitHub repo available
- profil kualitas 71/100
tinjau dulu
- No OpenAgentSkill engagement data yet
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas GitHub automation dari awal hingga akhir.
- 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.
Profil kepercayaan
Hanya sandbox
Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Adopsi GitHub
Info282 star GitHub
Aktivitas star/fork
Periksa282 star dan 11 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
LulusDiperbarui hari ini
Kejelasan lisensi
LulusMIT
Sinyal positif
- Tinjauan AI disetujui
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Repositori yang baru dipelihara
- Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
- Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama
Tinjau sebelum memasang
- Quality score needs review
- Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
- Belum ada laporan hasil Agent nyata
- Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan
Tindakan yang disarankan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Profil kualitas
Kuat kandidat untuk alur kerja Agent
Solid option that is likely worth shortlisting for production workflows.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
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.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
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.
Daftar alternatif
Bandingkan sebelum memasang
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.
Ringkasan
--- 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
Detail teknis
- Versi
- 1.0.0
- Lisensi
- MIT
- Pembaruan terakhir
- 23 Agu 2026
- Diterbitkan
- 23 Agu 2026
Ringkasan keputusan
Kandidat cadangan
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 83/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- Tingkat sukses
- —
- Kegagalan terbaru
- —
- Hasil
- 0
- Kualitas output
- —
- Gagal
- 0
- Tidak relevan
- 0
- Pemasangan
- 0
- Diblokir risiko
- 0
- Perlu penyiapan
- 0
- Produksi
- 0
Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.
Pasang
Tambahkan ke alur Agent
Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.
Siklus pertumbuhan
Kit berbagi
Draf berbasis skenario untuk vision, siap untuk posting manual di 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
Balasan opsional dengan perintah pemasangan
Listing + install path for vision: https://www.openagentskill.com/skills/kunchenguid-vision?ref=x Install: npx skills add kunchenguid/vision --skill vision
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- kunchenguid
- Sumber
- kunchenguid/vision
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim pemilik
Klaim listing skill ini
Listing Diindeks Registry ini dikaitkan dengan kunchenguid, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.
Kit backlink kreator
Tambahkan badge bukti ke README Anda
Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.
[](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)Penulis
kunchenguid
@kunchenguid
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 282
- Skor kualitas
- 40/100
- Push GitHub terakhir
- 23 Agu 2026
- Petunjuk framework
- Tidak diketahui
- Tampilan OpenAgentSkill
- 0
- Salinan pemasangan
- 0
- Klik keluar
- 0
Sinyal komunitas
Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.
Kepercayaan & keamanan
Hanya sandbox
- Adopsi GitHub282 star GitHubInfo
- Aktivitas star/fork282 star dan 11 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
- Pemeliharaan terbaruDiperbarui hari iniLulus
- Kejelasan lisensiMITLulus
- Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
- Risiko dependensi/runtimeCakupan eksekusi perintahInfo
Skill terkait
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarGrill 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.
164.7K StarTo Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
164.7K StarTo Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
176.7K Star