axiom-networking-legacy▌
charleswiltgen/axiom · updated Apr 8, 2026
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These patterns use NWConnection with completion handlers for apps supporting iOS 12-25. If your app targets iOS 26+, use NetworkConnection with async/await instead (see axiom-network-framework-ref skill).
Legacy iOS 12-25 NWConnection Patterns
These patterns use NWConnection with completion handlers for apps supporting iOS 12-25. If your app targets iOS 26+, use NetworkConnection with async/await instead (see axiom-network-framework-ref skill).
Pattern 2a: NWConnection with TLS (iOS 12-25)
Use when Supporting iOS 12-25, need TLS encryption, can't use async/await yet
Time cost 10-15 minutes
GOOD: NWConnection with Completion Handlers
import Network
// Create connection with TLS
let connection = NWConnection(
host: NWEndpoint.Host("mail.example.com"),
port: NWEndpoint.Port(integerLiteral: 993),
using: .tls // TCP inferred
)
// Handle connection state changes
connection.stateUpdateHandler = { [weak self] state in
switch state {
case .ready:
print("Connection established")
self?.sendInitialData()
case .waiting(let error):
print("Waiting for network: \(error)")
// Show "Waiting..." UI, don't fail immediately
case .failed(let error):
print("Connection failed: \(error)")
case .cancelled:
print("Connection cancelled")
default:
break
}
}
// Start connection
connection.start(queue: .main)
// Send data with pacing
func sendData() {
let data = Data("Hello, world!".utf8)
connection.send(content: data, completion: .contentProcessed { [weak self] error in
if let error = error {
print("Send error: \(error)")
return
}
// contentProcessed callback = network stack consumed data
// This is when you should send next chunk (pacing)
self?.sendNextChunk()
})
}
// Receive exact byte count
func receiveData() {
connection.receive(minimumIncompleteLength: 10, maximumLength: 10) { [weak self] (data, context, isComplete, error) in
if let error = error {
print("Receive error: \(error)")
return
}
if let data = data {
print("Received \(data.count) bytes")
// Process data...
self?.receiveData() // Continue receiving
}
}
}
Key differences from NetworkConnection
- Must use
[weak self]in all completion handlers to prevent retain cycles - stateUpdateHandler receives state, not async sequence
- send/receive use completion callbacks, not async/await
When to use
- Supporting iOS 12-15 (70% of devices as of 2024)
- Codebases not yet using async/await
- Libraries needing backward compatibility
Migration to NetworkConnection (iOS 26+)
- stateUpdateHandler -> connection.states async sequence
- Completion handlers -> try await calls
- [weak self] -> No longer needed (async/await handles cancellation)
Pattern 2b: NWConnection UDP Batch (iOS 12-25)
Use when Supporting iOS 12-25, sending multiple UDP datagrams efficiently, need ~30% CPU reduction
Time cost 10-15 minutes
Background Traditional UDP sockets send one datagram per syscall. If you're sending 100 small packets, that's 100 context switches. Batching reduces this to ~1 syscall.
BAD: Individual UDP Sends (High CPU)
// WRONG — 100 context switches for 100 packets
for frame in videoFrames {
sendto(socket, frame.bytes, frame.count, 0, &addr, addrlen)
// Each send = context switch to kernel
}
GOOD: Batched UDP Sends (30% Lower CPU)
import Network
// UDP connection
let connection = NWConnection(
host: NWEndpoint.Host("stream-server.example.com"),
port: NWEndpoint.Port(integerLiteral: 9000),
using: .udp
)
connection.stateUpdateHandler = { state in
if case .ready = state {
print("Ready to send UDP")
}
}
connection.start(queue: .main)
// Batch sending for efficiency
func sendVideoFrames(_ frames: [Data]) {
connection.batch {
for frame in frames {
connection.send(content: frame, completion: .contentProcessed { error in
if let error = error {
print("Send error: \(error)")
}
})
}
}
// All sends batched into ~1 syscall
// 30% lower CPU usage vs individual sends
}
// Receive UDP datagrams
func receiveFrames() {
connection.receive(minimumIncompleteLength: 1, maximumLength: 65536) { [weak self] (data, context, isComplete, error) in
if let error = error {
print("Receive error: \(error)")
return
}
if let data = data {
// Process video frame
self?.displayFrame(data)
self?.receiveFrames() // Continue receiving
}
how to use axiom-networking-legacyHow to use axiom-networking-legacy on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add axiom-networking-legacy
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-networking-legacyThe skills CLI fetches axiom-networking-legacy from GitHub repository charleswiltgen/axiom and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/axiom-networking-legacyReload or restart Cursor to activate axiom-networking-legacy. Access the skill through slash commands (e.g., /axiom-networking-legacy) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
✓Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
✓Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.8★★★★★47 reviews- ★★★★★Aisha Farah· Dec 28, 2024
axiom-networking-legacy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Valentina Rahman· Dec 24, 2024
axiom-networking-legacy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aisha Martin· Nov 19, 2024
Solid pick for teams standardizing on skills: axiom-networking-legacy is focused, and the summary matches what you get after install.
- ★★★★★Mia Brown· Nov 3, 2024
I recommend axiom-networking-legacy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mia Patel· Oct 22, 2024
Useful defaults in axiom-networking-legacy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aisha Taylor· Oct 10, 2024
axiom-networking-legacy has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ava Haddad· Sep 25, 2024
axiom-networking-legacy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yash Thakker· Sep 17, 2024
Registry listing for axiom-networking-legacy matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Valentina Khan· Sep 17, 2024
I recommend axiom-networking-legacy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mia Jackson· Sep 5, 2024
axiom-networking-legacy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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