Follows type-first, functional, and error handling patterns from CLAUDE.md. This skill covers Zig-specific idioms only.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionzig-best-practicesExecute the skills CLI command in your project's root directory to begin installation:
Fetches zig-best-practices from 0xbigboss/claude-code and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate zig-best-practices. Access via /zig-best-practices in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
3
total installs
3
this week
43
GitHub stars
0
upvotes
Run in your terminal
3
installs
3
this week
43
stars
Follows type-first, functional, and error handling patterns from CLAUDE.md. This skill covers Zig-specific idioms only.
Tagged unions for mutually exclusive states — prevents invalid combinations that a struct with multiple nullable fields would allow:
const RequestState = union(enum) {
idle,
loading,
success: []const u8,
failure: anyerror,
};
Explicit error sets — documents exactly what can fail; anyerror hides failure modes:
const ParseError = error{ InvalidSyntax, UnexpectedToken, EndOfInput };
fn parse(input: []const u8) ParseError!Ast { ... }
Distinct types for domain IDs — compiler prevents mixing up different ID types:
const UserId = enum(u64) { _ };
const OrderId = enum(u64) { _ };
Comptime validation — catch invalid configurations at compile time, not runtime:
fn Buffer(comptime size: usize) type {
if (size == 0) @compileError("buffer size must be greater than 0");
return struct { data: [size]u8 = undefined, len: usize = 0 };
}
defer resource.deinit() immediately after acquisition — keeps cleanup co-located with creation.errdefer for cleanup on error paths; defer for unconditional cleanup.std.testing.allocator in tests — reports leaks with stack traces.fn createResource(allocator: std.mem.Allocator) !*Resource {
const resource = try allocator.create(Resource);
errdefer allocator.destroy(resource); // runs only on error
resource.* = try initializeResource();
return resource;
}
const over var; prefer slices over raw pointers.comptime T: type over anytype; explicit types produce clearer errors. Use anytype only for genuinely polymorphic cases (callbacks, std.debug.print-style).switch: include an else returning an error or unreachable for truly impossible cases.std.log.scoped(.module_name) for namespaced logging; define a module-level const log constant.zigdoc — browse std library and dependency docs:
zigdoc std.mem.Allocator # std lib symbol
zigdoc vaxis.Window # project dependency
zigdoc @init # create AGENTS.md with API patterns
ziglint — static analysis with .ziglint.zon config:
ziglint # lint current directory
ziglint --ignore Z001 # suppress specific rule
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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jwynia/agent-skills
asyrafhussin/agent-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
Useful defaults in zig-best-practices — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in zig-best-practices — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
zig-best-practices has been reliable in day-to-day use. Documentation quality is above average for community skills.
zig-best-practices has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: zig-best-practices is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: zig-best-practices is focused, and the summary matches what you get after install.
zig-best-practices is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
zig-best-practices is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
zig-best-practices fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in zig-best-practices — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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