engineering-flow

REVIEW · 67
Registry indexed

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

Verified installs0
Stars16
Version1.0.0
Quality59/100 · Promising
Trust67/100 · Sandbox only
Audit78/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add danicat/skills --skill engineering-flow

Maintenance

fresh

Pushed today

Risk

Needs review

Low GitHub adoption signal

GitHub quality

16

59/100 Quality · 75/100 Trust

Coverage tags

ResearchRAG and knowledgeagent-skill

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
59

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
67

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
78

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

16 GitHub stars

Repo activity

16 stars, 3 forks

Maintenance

Pushed today

License

Apache-2.0

Install

npx skills add danicat/skills --skill engineering-flow

Install safety

standard package or runtime install path

Permission surface

network or browser access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • 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

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Testing and QA workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Run test suites

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add danicat/skills --skill engineering-flow
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
78/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add danicat/skills --skill engineering-flow

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • Quality score needs review

Agent safety v2

58/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

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-flow

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • 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.

Copy 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.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

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-flow

Registry metadata

Agent-readable profile for automatic skill selection.

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 manifest

Agent fit

58/100

Testing and QA

Platforms

Claude Code

Audit report

Needs review · 78/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Testing and QA

Prototype with this skill first; keep a fallback candidate ready.

58
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Testing and QA

Trust label

Prototype first

Install path

Command ready

Use when

  • Testing and QA workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 59/100 quality profile

review first

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Testing and QA task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

67
OpenAgentSkill Trust Score

GitHub adoption

FIX

16 GitHub stars

Stars/forks activity

FIX

16 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • 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
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

59
GitHub stars
16
Freshness
Today
Install ready
Yes
License
Apache-2.0
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- 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.

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Aug 24, 2026
Published
Aug 24, 2026

Decision snapshot

Fallback candidate

58
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

78
Needs review
Security
85/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for engineering-flow, ready for a manual X post.

Curator note
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
Open X draft
Optional reply with install command
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

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
danicat
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to danicat but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/danicat-engineering-flow?metric=listed&label=Listed)](https://www.openagentskill.com/skills/danicat-engineering-flow)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/danicat-engineering-flow?metric=trust&label=Trust)](https://www.openagentskill.com/skills/danicat-engineering-flow)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/danicat-engineering-flow?metric=audit&label=Audit)](https://www.openagentskill.com/skills/danicat-engineering-flow/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/danicat-engineering-flow?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/danicat-engineering-flow)

Author

D

danicat

@danicat

Platform fit

Health signals

GitHub stars
16
Quality score
32/100
Last GitHub push
Aug 23, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

67
  • GitHub adoption16 GitHub starsFIX
  • Stars/forks activity16 stars, 3 forks; issue activity unavailable in current metadataFIX
  • Recent maintenancePushed todayPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime risknetwork or browser surfacePASS