AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionniaExecute the skills CLI command in your project's root directory to begin installation:
Fetches nia from nozomio-labs/nia-skill 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 nia. Access via /nia 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.
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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
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NEVER use web fetch or web search without checking Nia sources first. NEVER skip this workflow.
./scripts/nia.sh sources (quick summary of everything). For full details: repos.sh list, sources.sh list, slack.sh list, google-drive.sh list, x.sh listsearch.sh query, repos.sh grep/read, sources.sh grep/read/treeSLACK_WORKSPACES=<id> ./scripts/search.sh query "question" or slack.sh grep/messagesgoogle-drive.sh browse → update-selection → index, then use sources.shrepos.sh index or sources.sh index, then searchsearch.sh web or search.sh deepIndexed sources are always more accurate and complete than web fetches. Web fetch returns truncated/summarized content. Nia provides full source code and documentation. No skipping to web.
search.sh universal does NOT search Slack. Use search.sh query with SLACK_WORKSPACES env var, or slack.sh grep/messages directly.
Direct API access to Nia for indexing and searching code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, and packages.
Either:
./scripts/auth.sh signup <email> <password> <organization_name>./scripts/auth.sh bootstrap-key <bootstrap_token> or ./scripts/auth.sh login-key <email> <password>npx nia-wizard@latest (guided setup)Set the NIA_API_KEY environment variable:
export NIA_API_KEY="your-api-key-here"
Or store it in a config file:
mkdir -p ~/.config/nia
echo "your-api-key-here" > ~/.config/nia/api_key
Note:
NIA_API_KEYenvironment variable takes precedence over the config file.
curljqEXTRACT_BRANDING=true).All scripts are in ./scripts/. Most authenticated wrappers use lib.sh for shared auth/curl helpers; auth.sh is standalone because it mints the API key. Base URL: https://apigcp.trynia.ai/v2
Each script uses subcommands: ./scripts/<script>.sh <command> [args...]
Run any script without arguments to see available commands and usage.
./scripts/nia.sh sources # Quick inventory of all indexed sources
Shows counts and recent names for every source type (repos, docs, papers, datasets, folders, Slack, Drive) in one call. Start here before drilling into individual scripts.
./scripts/auth.sh signup <email> <password> <organization_name> # Create account
./scripts/auth.sh bootstrap-key <bootstrap_token> # Exchange one-time token
./scripts/auth.sh login-key <email> <password> [org_id] # Mint fresh API key
Env: SAVE_KEY=true to write ~/.config/nia/api_key, IDEMPOTENCY_KEY
./scripts/sources.sh index "https://docs.example.com" [limit] # Index docs
./scripts/sources.sh list [type] [limit] [offset] # List sources
./scripts/sources.sh get <source_id> [type] # Get source details
./scripts/sources.sh resolve <identifier> [type] # Resolve name/URL to ID
./scripts/sources.sh update <source_id> [display_name] [cat_id] # Update source
./scripts/sources.sh delete <source_id> [type] # Delete source
./scripts/sources.sh sync <source_id> [type] # Re-sync source
./scripts/sources.sh rename <source_id_or_name> <new_name> # Rename source
./scripts/sources.sh subscribe <url> [source_type] [ref] # Subscribe to global source
./scripts/sources.sh read <source_id> [path] # Read content
./scripts/sources.sh grep <source_id> <pattern> [path] # Grep content
./scripts/sources.sh tree <source_id> # Get file tree
./scripts/sources.sh ls <source_id> # Shallow tree view
./scripts/sources.sh classification <source_id> [type] # Get/update classification
./scripts/sources.sh curation <source_id> [type] # Get trust/overlay/annotations
./scripts/sources.sh update-curation <source_id> [type] # Update trust/overlay
./scripts/sources.sh annotations <source_id> [type] # List annotations
./scripts/sources.sh add-annotation <source_id> <content> [kind] # Create annotation
./scripts/sources.sh update-annotation <source_id> <annotation_id> [content] [kind] # Update annotation
./scripts/sources.sh delete-annotation <source_id> <annotation_id> [type] # Delete annotation
./scripts/sources.sh assign-category <source_id> <cat_id|null> # Assign category
./scripts/sources.sh upload-url <filename> # Get signed URL for file upload (PDF, CSV, TSV, XLSX, XLS)
./scripts/sources.sh bulk-delete <id:type> [id:type ...] # Bulk delete resources
Index environment variables: DISPLAY_NAME, FOCUS, EXTRACT_BRANDING, EXTRACT_IMAGES, IS_PDF, IS_SPREADSHEET, URL_PATTERNS, EXCLUDE_PATTERNS, MAX_DEPTH, WAIT_FOR, CHECK_LLMS_TXT, LLMS_TXT_STRATEGY, INCLUDE_SCREENSHOT, ONLY_MAIN_CONTENT, ADD_GLOBAL, MAX_AGE
List environment variables: STATUS, QUERY, CATEGORY_ID
Generic source env: TYPE=<repository|documentation|research_paper|huggingface_dataset|local_folder|slack|google_drive|connector>, BRANCH, URL, PAGE, TREE_NODE_ID, LINE_START, LINE_END, MAX_LENGTH, MAX_DEPTH, SYNC_JSON
Classification update env: ACTION=update, CATEGORIES=cat1,cat2, INCLUDE_UNCATEGORIZED=true|false
Curation update env: TRUST_LEVEL (low|medium|high), OVERLAY_KIND (custom|nia_verified), OVERLAY_SUMMARY, OVERLAY_GUIDANCE, RECOMMENDED_QUERIES (csv), CLEAR_OVERLAY=true|false
Grep environment variables: CASE_SENSITIVE, WHOLE_WORD, FIXED_STRING, OUTPUT_MODE, HIGHLIGHT, EXHAUSTIVE, LINES_AFTER, LINES_BEFORE, MAX_PER_FILE, MAX_TOTAL
Flexible identifiers: Most endpoints accept UUID, display name, or URL:
550e8400-e29b-41d4-a716-446655440000Vercel AI SDK - Core, openai/gsm8khttps://docs.trynia.ai/, https://arxiv.org/abs/2312.00752./scripts/repos.sh index <owner/repo> [branch] [display_name] # Index repo (ADD_GLOBAL=false to keep private)
./scripts/repos.sh list # List indexed repos
./scripts/repos.sh status <owner/repo> # Get repo status
./scripts/repos.sh read <owner/repo> <path/to/file> # Read file
./scripts/repos.sh grep <owner/repo> <pattern> [path_prefix] # Grep code (REF= for branch)
./scripts/repos.sh tree <owner/repo> [branch] # Get file tree
./scripts/repos.sh delete <repo_id> # Delete repo
./scripts/repos.sh rename <repo_id> <new_name> # Rename display name
Tree environment variables: MAX_DEPTH, INCLUDE_PATHS, EXCLUDE_PATHS, FILE_EXTENSIONS, EXCLUDE_EXTENSIONS, SHOW_FULL_PATHS
./scripts/search.sh query <query> <repos_csv> [docs_csv] # Query specific repos/sources
./scripts/search.sh universal <query> [top_k] # Search ALL indexed sources
./scripts/search.sh web <query> [num_results] # Web search
./scripts/search.sh deep <query> [output_format] # Deep research (Pro)
query — targeted search with AI response and sources. Env: LOCAL_FOLDERS, SLACK_WORKSPACES, CATEGORY, MAX_TOKENS, STREAM, INCLUDE_SOURCES, FAST_MODE, SKIP_LLM, REASONING_STRATEGY (vector|tree|hybrid), MODEL, SEARCH_MODE, BYPASS_CACHE, SEMANTIC_CACHE_THRESHOLD, INCLUDE_FOLLOW_UPS, TRUST_MINIMUM_TIER, TRUST_VERIFIED_ONLY, TRUST_REQUIRE_OVERLAY, E2E_SESSION_ID. Slack filters: SLACK_CHANNELS, SLACK_USERS, SLACK_DATE_FROM, SLACK_DATE_TO, SLACK_INCLUDE_THREADS. Local source filters: SOURCE_SUBTYPE, DB_TYPE, CONNECTOR_TYPE, CONVERSATION_ID, CONTACT_ID, SENDER_ROLE, TIME_AFTER, TIME_BEFORE. This is the only search command that supports Slack.
universal — hybrid vector + BM25 across all indexed public sources (repos + docs + HF datasets). Does NOT include Slack. Env: INCLUDE_REPOS, INCLUDE_DOCS, INCLUDE_HF, ALPHA, COMPRESS, MAX_TOKENS, MAX_SOURCES, SOURCES_FOR_ANSWER, BYPASS_CACHE, BYPASS_SEMANTIC_CACHE, SEMANTIC_CACHE_THRESHOLD, BOOST_LANGUAGES, LANGUAGE_BOOST, EXPAND_SYMBOLS, NATIVE_BOOSTING
web — web search. Env: CATEGORY (github|company|research|news|tweet|pdf|blog), DAYS_BACK, FIND_SIMILAR_TO
deep — deep AI research (Pro). Env: VERBOSE
./scripts/oracle.sh run <query> [repos_csv] [docs_csv] # Run research (synchronous)
./scripts/oracle.sh job <query> [repos_csv] [docs_csv] # Create async job (recommended)
./scripts/oracle.sh job-status <job_id> # Get job status/result
./scripts/oracle.sh job-stream <job_id> # Stream async job updates
./scripts/oracle.sh job-cancel <job_id> # Cancel running job
./scripts/oracle.sh jobs-list [status] [limit] # LiMake 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added nia from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for nia matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in nia — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
nia is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend nia for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: nia is the kind of skill you can hand to a new teammate without a long onboarding doc.
nia reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: nia is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: nia is focused, and the summary matches what you get after install.
We added nia from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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