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
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
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
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA 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.
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.
Suited tasks
- Testing and QA workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Run test suites
Suited agents
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-flowDo 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
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Agent safety v2
58/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
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-flowAgent 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 JSON
/api/agent/resolve?task=Use%20engineering-flow%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20engineering-flow%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/danicat-engineering-flow/install
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.
Install handoff
/api/skills/danicat-engineering-flow/install
LLM text format
/api/skills/danicat-engineering-flow/install?format=text
Find alternatives
/api/skills/search?q=engineering-flow&limit=3
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-flowRegistry 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.
Manifest
/api/registry/manifest/danicat-engineering-flow
LLM text
/api/registry/manifest/danicat-engineering-flow?format=text
Install alias
/api/registry/install/danicat-engineering-flow
Recommend
/api/registry/recommend?task=Use%20engineering-flow%20in%20an%20agent%20workflow&limit=3
Agent fit
Testing and QA
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 78/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Testing and QA
Prototype with this skill first; keep a fallback candidate ready.
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
- 1Install it in a sandbox agent and run one Testing and QA task end to end.
- 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.
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.
GitHub adoption
FIX16 GitHub stars
Stars/forks activity
FIX16 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSApache-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.
Workflow fit
Use this skill in these scenarios
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.
Workflow fit
Add it to a complete workflow
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.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
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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
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 85/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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
Scenario-led draft for engineering-flow, ready for a manual X post.
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
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
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- danicat
- Source
- danicat/skills
- 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 skillOwner 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.
[](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)Author
danicat
@danicat
Tags
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
- 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
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