engineering-flow
Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling a
Profil aset
Riset dan pekerjaan pengetahuan
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Skenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Kecocokan Agent
Claude Code + CLI + Codex
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add danicat/skills --skill engineering-flow
Pemeliharaan
Terkini
Diperbarui hari ini
Risiko
Perlu ditinjau
Low GitHub adoption signal
Kualitas GitHub
16
59/100 Kualitas · 75/100 Kepercayaan
Tag cakupan
Catatan ulasan
Low GitHub adoption signal · Quality score needs review
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
MenjanjikanUseful candidate, but compare it with alternatives before adopting.
Kepercayaan
Hanya sandboxKandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Audit
Perlu ditinjauTinjauan 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
16 star GitHub
Aktivitas repositori
16 star dan 3 fork
Pemeliharaan
Diperbarui hari ini
Lisensi
Apache-2.0
Pasang
npx skills add danicat/skills --skill engineering-flow
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
network or browser access
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Konteks README/SKILL.md kuat
Ringkasan risiko
Tinjau sebelum produksi
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 16 GitHub stars
- Stars/forks activity: 16 stars, 3 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 Testing and QA
- Tim Claude Code
- builders willing to evaluate younger projects
- Run test suites
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add danicat/skills --skill engineering-flow
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 67/100
- Audit
- 78/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add danicat/skills --skill engineering-flowJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- production agents without a repository review
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 16 GitHub stars
Skill alternatif
Last30days Skill
53.5K Star
npx skills add mvanhorn/last30days-skill -g
Skill alternatif
Academic Research Skills
38.4K Star
npx skills add Imbad0202/academic-research-skills
Skill alternatif
GPT Researcher
28.0K Star
npx skills add assafelovic/gpt-researcher
Skill alternatif
DeepResearch
19.8K Star
npx skills add Alibaba-NLP/DeepResearch
Keamanan Agent v2
58/100 · Tinjau sebelum memasang
Kandidat yang dapat digunakan, tetapi Agent harus menampilkan catatan izin dan audit sebelum memasang.
Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.
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.
Sedang
Akses database
Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.
- Low GitHub adoption signal
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 danicat-engineering-flowRencana 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%20engineering-flow%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20engineering-flow%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/danicat-engineering-flow/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 engineering-flow in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20engineering-flow%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/danicat-engineering-flow/install
Install command: npx skills add danicat/skills --skill engineering-flow
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/danicat-engineering-flow/install
Format teks LLM
/api/skills/danicat-engineering-flow/install?format=text
Cari alternatif
/api/skills/search?q=engineering-flow&limit=3
Prompt Agent
Use engineering-flow for this task. Review https://www.openagentskill.com/api/skills/danicat-engineering-flow/install, then install with: npx skills add danicat/skills --skill engineering-flowMetadata 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/danicat-engineering-flow
Teks LLM
/api/registry/manifest/danicat-engineering-flow?format=text
Alias pemasangan
/api/registry/install/danicat-engineering-flow
Rekomendasikan
/api/registry/recommend?task=Use%20engineering-flow%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Testing and QA
Tag use case
Platform
Claude Code
Laporan audit
Perlu ditinjau · 78/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Fallback candidate for Testing and QA
Prototype with this skill first; keep a fallback candidate ready.
Peran di stack
Kandidat cadangan
Kecocokan utama
Testing and QA
Label kepercayaan
Buat prototipe dulu
Jalur pemasangan
Perintah siap
Gunakan saat
- alur kerja Testing and QA
- Tim Claude Code
- builders willing to evaluate younger projects
Bukti
- recent repository activity
- install command or GitHub repo available
- profil kualitas 59/100
- 1 event interaksi OpenAgentSkill
tinjau dulu
- Low GitHub adoption signal
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Testing and QA 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
Perbaiki16 star GitHub
Aktivitas star/fork
Perbaiki16 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
LulusDiperbarui hari ini
Kejelasan lisensi
LulusApache-2.0
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
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 16 GitHub stars
- Stars/forks activity: 16 stars, 3 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
Menjanjikan kandidat untuk alur kerja Agent
Useful candidate, but compare it with alternatives before adopting.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Verify behavior
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Ringkasan
--- name: engineering-flow description: > Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling and dead code removal. Activate when designing system architecture, planning releases, refactoring codebases, establishing project standards, or resolving technical uncertainty. license: Apache-2.0 metadata: category: coding tags: "engineering, standards, architecture, workflow, quality, hygiene" author: Daniela Petruzalek (daniela@danicat.dev) version: "0.2.0" catalog: https://skills.danicat.dev ---
# Engineering Flow
Engineering standards, decision pipelines, and code hygiene rules.
---
## Delivery Principles
Ship working software in small, verifiable increments: - Keep changes scoped to a single logical objective. - Avoid speculative abstractions and overengineering. - Implement thin, vertical slices from entrypoint to persistence. - Verify each slice with automated tests and compiler checks before proceeding.
---
## Design Pipeline: RFCs and ADRs
Separate exploration from permanent architectural choices:
```mermaid graph TD A[Ambiguous Goal / High Uncertainty] --> B[RFC in design/rfc/] B -->|Consensus Reached| C[ADR in design/adr/] C --> D[Implementation Tasks] E[Trivial / Low-Uncertainty Task] --> D ```
- RFCs (`design/rfc/`): Use during exploration when requirements are ambiguous, trade-offs need debate, or multiple viable architectures exist. RFCs are fluid working documents. - ADRs (`design/adr/`): Use to record finalized decisions. ADRs are immutable historical logs capturing context, chosen architecture, and accepted trade-offs. - Tasks: Break ADR conclusions into concrete checklist items with clear acceptance criteria.
---
## Task Prioritization
Categorize work by technical certainty and business value:
| | High Technical Certainty | Low Technical Certainty | | :--- | :--- | :--- | | **High Value** | **Direct execution**: Implement interactively with compiler feedback and tight test loops. | **Research & Spikes**: Do not write production code yet. Run throwaway spikes in `scratch/` or draft an RFC. | | **Low Value** | **Delegate**: Offload to background tasks or subagents. | **Defer / Discard**: Drop or postpone until certainty increases or value is demonstrated. |
---
## Research & Evidence Hierarchy
Do not guess APIs, package syntax, or model behaviors. Ground technical decisions in primary sources:
```text [1] Source Code (highest authority) └── [2] Official Documentation & API Reference └── [3] Official Release Notes & Announcements └── [4] Industry Expert Articles (< 3 months old) └── [5] Community Posts (< 3 months old) └── [6] Stale Articles (> 3 months old — discard) └── [7] Social Media (unverified — cross-check first) ```
Research rules: - Test APIs and compiler behavior with throwaway scripts in `scratch/` before modifying production code. - Discard community posts older than 3 months for fast-moving packages and AI tooling. - Always include clickable URLs when citing documentation or external examples.
---
## Dependency Version Verification
Never guess version numbers, dependency syntax, or model names: - Inspect local project manifests (`go.mod`, `package.json`, `pyproject.toml`) for existing pinned constraints. - Query package registries directly (`npm view <pkg> version`, `go list -m -versions <pkg>`, `pip index versions <pkg>`) or verify current dependency documentation. - Verify AI model names and API versions against current official documentation before updating API calls (e.g., verifying current Gemini model names against Google GenAI documentation).
---
## Semantic Versioning & 0.x Zero-Debt Rule
Follow Semantic Versioning (`MAJOR.MINOR.PATCH`): - Increment `MAJOR` (`X.0.0`) for backwards-incompatible API changes. - Increment `MINOR` (`x.Y.0`) for backwards-compatible new features. - Increment `PATCH` (`x.y.Z`) for backwards-compatible bug fixes.
### The 0.x Zero-Debt Policy - In `0.x` development, never attempt backwards compatibility. - Do not add compatibility shims, deprecation wrappers, alias redirects, or fallback branches to support previous `0.x` shapes. Refactor callers and interfaces directly.
---
## Broken Window Code Hygiene
Enforce clean code standards across every edit: - Delete dead code, unreachable branches, unused variables, and stale comments immediately. - Implementation comments must explain current logic only. Never write comments detailing how earlier versions worked or why code was rewritten; historical context belongs exclusively in ADRs and RFCs. - Keep names clean, unambiguous, and consistent across variables, types, and files. - Handle every error explicitly at the origin point. Never discard errors (e.g., `_ = err`, empty `catch`, or unhandled promises). - Never suppress linter errors with ignore directives (`//nolint`, `# noqa`, `eslint-disable`). Fix the underlying code. - Logging is not error handling. An error must be handled, propagated to the caller, or aborted with a clean exit.
---
## Pre-Release Quality Gate
Before staging, committing, or pushing code: - Run the full build, format, lint, and test suite. - Verify all modified files satisfy the Broken Window Code Hygiene criteria. - Never commit or push with failing tests, broken formatting, or active lint errors.
Detail teknis
- Versi
- 1.0.0
- Lisensi
- Apache-2.0
- Pembaruan terakhir
- 24 Agu 2026
- Diterbitkan
- 24 Agu 2026
Ringkasan keputusan
Kandidat cadangan
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 85/100
- 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 engineering-flow, siap untuk posting manual di X.
A practical pick for design or creative work: engineering-flow: Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decis... 16 stars https://www.openagentskill.com/skills/danicat-engineering-flow?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for engineering-flow: https://www.openagentskill.com/skills/danicat-engineering-flow?ref=x Install: npx skills add danicat/skills --skill engineering-flow
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- danicat
- Sumber
- danicat/skills
- 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 danicat, 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/danicat-engineering-flow)
[](https://www.openagentskill.com/skills/danicat-engineering-flow)
[](https://www.openagentskill.com/skills/danicat-engineering-flow/audit)
[](https://www.openagentskill.com/skills/danicat-engineering-flow)Penulis
danicat
@danicat
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 16
- Skor kualitas
- 32/100
- Push GitHub terakhir
- 23 Agu 2026
- Petunjuk framework
- Tidak diketahui
- Tampilan OpenAgentSkill
- 1
- 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 GitHub16 star GitHubPerbaiki
- Aktivitas star/fork16 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat iniPerbaiki
- Pemeliharaan terbaruDiperbarui hari iniLulus
- Kejelasan lisensiApache-2.0Lulus
- Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
- Risiko dependensi/runtimenetwork or browser surfaceLulus
Skill terkait
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
53.5K StarAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarDeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
19.8K Star