// data.jsx — sample skill marketplace data const SKILLS = [ { id: "pr-reviewer", name: "PR Reviewer", one_liner: "Reviews a pull request and flags risky changes with inline notes.", author: "Anthropic", author_verified: true, glyph: "PR", color: ["#5a3fa9", "#8c75d0"], category: "Coding", use_cases: ["code-review", "github"], badges: ["verified", "secure", "popular"], installs_30d: 12840, installs_label: "12.8k", activation_rate: 0.82, rating: 4.8, reviews: 412, last_updated: "2 days ago", version: "1.4.2", compatibility: ["Claude Code", "API"], pricing: "Free", momentum: "+38% this week", permissions: ["Read repo", "Write comments", "Network: github.com"], license: "MIT", team_approved: true, description: "Inspects diffs for risky patterns — auth, migrations, dependency upgrades, broad refactors — and posts inline review comments with severity, rationale, and suggested fixes. Works on Claude Code or as a GitHub Action.", best_for: ["Daily PR triage on shared repos", "Catching risky migrations before merge", "Onboarding reviewers with consistent rubric"], not_for: ["Style/lint nits — use a linter", "Architectural review of new systems"], inputs: ["Pull request diff", "Repository context"], outputs: ["Inline comments", "Risk summary", "Suggested patches"], triggers: ["pull_request opened/synchronized", "Manual /review command"], steps: ["Fetch diff + context", "Classify changed files by risk tier", "Generate per-hunk review comments", "Post summary + label"], deps: ["Octokit", "git"], limits: ["Diffs over 4k LOC are sampled", "Does not run tests"], sample_input: "Review PR #482: refactor auth middleware", sample_output: "**Risk: medium** — middleware now bypasses CSRF on /webhooks/*. Suggest scoping bypass to one route, not a prefix. (3 inline comments added.)", }, { id: "spec-drafter", name: "Spec Drafter", one_liner: "Turns scattered notes into a product spec draft with goals, scope, and risks.", author: "irisgo/templates", author_verified: true, glyph: "SD", color: ["#1e5fd6", "#5a8df0"], category: "Writing", use_cases: ["product-spec", "writing"], badges: ["verified", "team"], installs_30d: 7420, installs_label: "7.4k", activation_rate: 0.71, rating: 4.6, reviews: 188, last_updated: "5 days ago", version: "0.9.1", compatibility: ["Claude.ai", "API"], pricing: "Free", momentum: "Trending", permissions: ["Read attached files"], license: "Apache-2.0", team_approved: true, description: "Aggregates scratch notes, transcripts, and Slack threads into a structured spec — problem, goals, non-goals, scope, open questions, risks. Outputs Markdown.", best_for: ["PMs writing first drafts fast", "Synthesizing meeting notes into a spec"], not_for: ["Final-shipping doc copy", "Pricing pages"], inputs: ["Notes (text, files)", "Optional template"], outputs: ["Markdown spec", "Open questions list"], triggers: ["/spec command", "Drag notes onto chat"], steps: ["Cluster notes by topic", "Map to spec sections", "Draft with explicit gaps marked", "Surface open questions"], deps: [], limits: ["English only", "Max ~30 input pages"], sample_input: "Draft a spec from these 4 meeting notes about the new billing flow.", sample_output: "# Billing flow v2 — Spec draft\\n## Problem\\nUsers abandon checkout at the plan-pick step (37% drop)…", }, { id: "csv-analyst", name: "CSV Analyst", one_liner: "Summarizes a CSV and highlights anomalies, trends, and outliers.", author: "datalab", author_verified: true, glyph: "CV", color: ["#137a3d", "#3aa86a"], category: "Data", use_cases: ["analysis", "data"], badges: ["verified", "popular"], installs_30d: 9120, installs_label: "9.1k", activation_rate: 0.78, rating: 4.7, reviews: 244, last_updated: "1 week ago", version: "2.1.0", compatibility: ["Claude Code", "Claude.ai", "API"], pricing: "Free", momentum: "+22% this week", permissions: ["Read uploaded files", "Local sandbox execution"], license: "MIT", description: "Profiles a tabular dataset — schema, distributions, missing values, candidate keys — then runs anomaly detection and produces a one-page summary with charts.", best_for: ["First look at a new dataset", "Smoke-checking pipeline output"], not_for: ["Production ETL", "Time-series forecasting"], inputs: ["CSV / TSV / Parquet"], outputs: ["Summary report", "Anomaly list", "Charts"], triggers: ["File upload", "/analyze command"], steps: ["Profile schema", "Compute distributions", "Run outlier detection", "Render report"], deps: ["pandas", "matplotlib"], limits: ["Files >500MB are sampled"], sample_input: "Analyze sales-Q3.csv", sample_output: "**Schema:** 14 columns, 2.1M rows. **Anomaly:** 1,204 rows in 'amount' exceed 4σ on 2025-09-14 — investigate.", }, { id: "deploy-agent", name: "Deploy Agent", one_liner: "Deploys a service to staging, runs smoke checks, and rolls back on failure.", author: "ops-co", author_verified: true, glyph: "DA", color: ["#0f1115", "#4a4f5a"], category: "Ops", use_cases: ["deploy", "ci-cd"], badges: ["verified", "secure"], installs_30d: 3210, installs_label: "3.2k", activation_rate: 0.69, rating: 4.5, reviews: 96, last_updated: "3 weeks ago", version: "1.2.0", compatibility: ["Claude Code", "CLI"], pricing: "Free", momentum: "Steady", permissions: ["Network: registry.k8s", "Run shell", "Read secrets (read-only)"], license: "MIT", description: "Pushes a tagged image, applies the staging manifest, runs smoke checks, and rolls back if any check fails. Writes a deploy note to your tracker.", best_for: ["Engineers shipping to staging", "Pre-merge previews"], not_for: ["Production deploys without human gate"], inputs: ["Service name", "Git ref"], outputs: ["Deploy URL", "Smoke check report"], triggers: ["/deploy command", "PR label: deploy-staging"], steps: ["Build & tag image", "Push to registry", "Apply manifest", "Run smoke checks", "Annotate or rollback"], deps: ["kubectl", "docker"], limits: ["Staging only by default"], sample_input: "/deploy api-gateway @ git: feat/rate-limit", sample_output: "Deployed → https://staging.example.com/api-gateway · Smoke: 12/12 pass", }, { id: "research-summarizer", name: "Research Summarizer", one_liner: "Synthesizes a research thread across sources with citations.", author: "lib.studio", author_verified: false, glyph: "RS", color: ["#a87000", "#d99933"], category: "Research", use_cases: ["research", "synthesis"], badges: ["popular"], installs_30d: 5640, installs_label: "5.6k", activation_rate: 0.74, rating: 4.4, reviews: 162, last_updated: "2 weeks ago", version: "0.6.4", compatibility: ["Claude.ai", "API"], pricing: "Free", momentum: "+12% this week", permissions: ["Network: HTTPS read", "Read uploaded files"], license: "MIT", description: "Reads a set of papers, blog posts, or transcripts and produces a synthesis with inline citations, agreement matrix, and open questions.", best_for: ["Lit reviews", "Competitive scans"], not_for: ["Single-source summaries"], inputs: ["URLs", "PDFs", "Notes"], outputs: ["Synthesis", "Citation list", "Agreement matrix"], triggers: ["/research command"], steps: ["Fetch + parse sources", "Extract claims", "Cluster + reconcile", "Synthesize"], deps: [], limits: ["Up to 25 sources per run"], sample_input: "Summarize what we know about long-context retrieval (8 sources).", sample_output: "Three camps: late-fusion RAG, full-context, and hybrid. Agreement on…", }, { id: "incident-postmortem", name: "Incident Postmortem", one_liner: "Drafts a blameless postmortem from logs, comms, and timeline data.", author: "irisgo/ops", author_verified: true, glyph: "IP", color: ["#b8241e", "#e16662"], category: "Ops", use_cases: ["incident", "writing"], badges: ["verified", "team", "new"], installs_30d: 1820, installs_label: "1.8k", activation_rate: 0.66, rating: 4.6, reviews: 41, last_updated: "Yesterday", version: "0.4.0", compatibility: ["Claude.ai", "Claude Code"], pricing: "Free", momentum: "New", permissions: ["Read attached files"], license: "Apache-2.0", team_approved: false, description: "Reads incident channels, log excerpts, and the timeline doc and produces a blameless postmortem: summary, contributing factors, mitigations, action items.", best_for: ["On-call handoff write-ups", "Quarterly review packets"], not_for: ["Live incident comms"], inputs: ["Slack export", "Logs", "Timeline doc"], outputs: ["Postmortem doc", "Action items"], triggers: ["/postmortem command"], steps: ["Reconstruct timeline", "Identify contributing factors", "Draft narrative", "Extract action items"], deps: [], limits: ["Best on incidents under 24h scope"], sample_input: "Draft postmortem for incident INC-2031.", sample_output: "## Summary\\n2h 14m partial outage of /checkout, US-East. Trigger: queue saturation following…", }, { id: "schema-migrator", name: "Schema Migrator", one_liner: "Plans a safe DB migration with backfill and rollback steps.", author: "datalab", author_verified: true, glyph: "SM", color: ["#15469f", "#5a8df0"], category: "Data", use_cases: ["database", "migration"], badges: ["verified", "secure"], installs_30d: 2640, installs_label: "2.6k", activation_rate: 0.72, rating: 4.7, reviews: 78, last_updated: "4 days ago", version: "1.0.3", compatibility: ["Claude Code", "CLI"], pricing: "Free", momentum: "+9% this week", permissions: ["Read schema", "Run shell (dry-run only)"], license: "MIT", description: "Generates a migration plan with phases (add column → backfill → switch reads → drop) and a rollback for each phase.", best_for: ["PostgreSQL/MySQL schema changes", "Backfilling new columns"], not_for: ["Cross-db migrations"], inputs: ["Current schema", "Target schema"], outputs: ["Migration plan", "SQL for each phase"], triggers: ["/migrate plan"], steps: ["Diff schemas", "Order changes", "Insert backfills", "Add rollback"], deps: ["psql", "mysql-client"], limits: ["No automatic execution"], sample_input: "Plan migration: add 'tier' to users, default='free', backfill from billing.", sample_output: "5 phases, 3 backfill batches. Rollback safe through phase 4. SQL attached.", }, { id: "design-token-sync", name: "Design Token Sync", one_liner: "Keeps Figma tokens and your codebase in sync, generates types.", author: "frontmatter", author_verified: false, glyph: "DT", color: ["#5a3fa9", "#ad9ddf"], category: "Coding", use_cases: ["design-system", "frontend"], badges: ["new"], installs_30d: 980, installs_label: "980", activation_rate: 0.61, rating: 4.3, reviews: 22, last_updated: "1 day ago", version: "0.3.0", compatibility: ["Claude Code", "CLI"], pricing: "Free", momentum: "New", permissions: ["Network: api.figma.com", "Read/write repo"], license: "MIT", description: "Pulls tokens from a Figma file, writes them as CSS variables + TypeScript types, and opens a PR when they drift.", best_for: ["Design system maintainers"], not_for: ["Per-component overrides"], inputs: ["Figma file ID", "Output path"], outputs: ["tokens.css", "tokens.d.ts", "PR with diff"], triggers: ["/sync tokens"], steps: ["Fetch tokens", "Diff against repo", "Generate files", "Open PR"], deps: ["@figma/rest-api"], limits: ["Figma Variables API only"], sample_input: "Sync tokens from Figma file Iris/Core", sample_output: "PR opened: 14 token changes, 0 breaking.", }, { id: "meeting-recap", name: "Meeting Recap", one_liner: "Turns a transcript into a recap with decisions, owners, and follow-ups.", author: "irisgo/templates", author_verified: true, glyph: "MR", color: ["#4a4f5a", "#9099a3"], category: "Writing", use_cases: ["meetings", "writing"], badges: ["verified"], installs_30d: 4480, installs_label: "4.5k", activation_rate: 0.81, rating: 4.5, reviews: 131, last_updated: "1 week ago", version: "1.0.0", compatibility: ["Claude.ai", "API"], pricing: "Free", momentum: "Steady", permissions: ["Read attached files"], license: "Apache-2.0", description: "Reads a meeting transcript and produces a tight recap: TL;DR, decisions, owners, follow-ups, and questions left unanswered.", best_for: ["Weekly team meetings", "Customer call recaps"], not_for: ["Verbatim transcripts"], inputs: ["Transcript (text/VTT)"], outputs: ["Recap doc"], triggers: ["/recap command"], steps: ["Identify speakers", "Detect decisions/actions", "Draft recap"], deps: [], limits: ["English"], sample_input: "Recap the kickoff transcript.", sample_output: "**TL;DR** — Q4 plan locked. **Decisions:** 3. **Action items:** 7 (owners assigned)…", }, { id: "secret-scanner", name: "Secret Scanner", one_liner: "Scans a repo or diff for leaked credentials with low false-positive rate.", author: "secureline", author_verified: true, glyph: "SS", color: ["#0c5f30", "#3aa86a"], category: "Ops", use_cases: ["security", "ci"], badges: ["verified", "secure", "team"], installs_30d: 6120, installs_label: "6.1k", activation_rate: 0.85, rating: 4.9, reviews: 209, last_updated: "3 days ago", version: "2.4.1", compatibility: ["Claude Code", "CLI", "API"], pricing: "Free", momentum: "+14% this week", permissions: ["Read repo (no network egress)"], license: "Apache-2.0", team_approved: true, description: "Detects API keys, tokens, and certificates in repos and diffs. Validates against issuer endpoints (offline mode available).", best_for: ["Pre-commit hook", "PR gate"], not_for: ["PII scanning"], inputs: ["Repo path", "Diff"], outputs: ["Findings list", "Severity"], triggers: ["/scan", "Git pre-commit"], steps: ["Pattern match", "Entropy check", "Validate (optional)", "Rank"], deps: [], limits: ["Validation requires network"], sample_input: "Scan repo for secrets.", sample_output: "2 findings: 1 high (AWS key in config.example.json), 1 low (test token).", }, { id: "ux-copy-editor", name: "UX Copy Editor", one_liner: "Tightens UI copy for clarity, voice, and length without changing meaning.", author: "frontmatter", author_verified: false, glyph: "UC", color: ["#a87000", "#f3c25b"], category: "Writing", use_cases: ["ux-writing", "frontend"], badges: [], installs_30d: 2080, installs_label: "2.1k", activation_rate: 0.7, rating: 4.4, reviews: 58, last_updated: "5 days ago", version: "0.7.2", compatibility: ["Claude.ai", "Claude Code"], pricing: "Free", momentum: "Steady", permissions: ["Read repo"], license: "MIT", description: "Reviews user-facing copy in components and rewrites for clarity, voice, and length. Outputs a diff.", best_for: ["Pre-launch polish", "i18n source cleanup"], not_for: ["Brand-defining headlines"], inputs: ["Component files", "Voice guide (optional)"], outputs: ["Diff"], triggers: ["/copy review"], steps: ["Extract strings", "Apply voice rules", "Tighten", "Write diff"], deps: [], limits: ["English"], sample_input: "Review copy in src/onboarding/*", sample_output: "12 strings improved, 4 left as-is, 2 flagged for review.", }, { id: "competitive-scan", name: "Competitive Scan", one_liner: "Maps a competitive landscape from sources you provide, with positioning.", author: "lib.studio", author_verified: false, glyph: "CS", color: ["#5a3fa9", "#8c75d0"], category: "Research", use_cases: ["research", "strategy"], badges: ["new"], installs_30d: 720, installs_label: "720", activation_rate: 0.58, rating: 4.2, reviews: 18, last_updated: "Yesterday", version: "0.2.1", compatibility: ["Claude.ai"], pricing: "Free", momentum: "New", permissions: ["Network: HTTPS read"], license: "MIT", description: "Reads competitor sites, docs, and reviews and produces a 2x2 positioning map plus capability matrix.", best_for: ["Strategy decks", "GTM prep"], not_for: ["Pricing benchmarks"], inputs: ["URLs", "Notes"], outputs: ["Positioning map", "Capability matrix"], triggers: ["/scan competitive"], steps: ["Crawl sources", "Extract claims", "Map axes", "Draft brief"], deps: [], limits: ["Up to 12 competitors"], sample_input: "Scan 8 dev-tool startups.", sample_output: "2x2 map (depth × control) with 8 placements; capability matrix attached.", }, ]; const COLLECTIONS = [ { id: "starter", title: "Starter pack", desc: "Five skills every new agent should know.", count: 5, curator: "IrisGo team", audience: "New users", tone: ["#5a3fa9","#ad9ddf"] }, { id: "founder", title: "Founder workflows", desc: "From scratch notes to ship-ready specs.", count: 8, curator: "@yc", audience: "Founders, PMs", tone: ["#137a3d","#3aa86a"] }, { id: "eng", title: "Engineering productivity", desc: "Code review, refactors, and CI helpers.", count: 12, curator: "@stripe", audience: "Engineers", tone: ["#0f1115","#4a4f5a"] }, { id: "research", title: "Research & analysis", desc: "Synthesize sources, scan landscapes.", count: 7, curator: "lib.studio", audience: "Researchers", tone: ["#a87000","#f3c25b"] }, { id: "secure", title: "Secure enterprise set", desc: "Reviewed, permissioned, audit-ready.", count: 9, curator: "IrisGo team", audience: "Admins", tone: ["#1e5fd6","#5a8df0"] }, ]; const USE_CASE_ROWS = { "Coding": ["pr-reviewer", "design-token-sync", "schema-migrator"], "Research": ["research-summarizer", "competitive-scan"], "Writing": ["spec-drafter", "meeting-recap", "ux-copy-editor"], "Data": ["csv-analyst", "schema-migrator"], "Ops": ["deploy-agent", "incident-postmortem", "secret-scanner"], }; const TRENDING_IDS = ["pr-reviewer", "secret-scanner", "csv-analyst", "spec-drafter", "incident-postmortem", "design-token-sync"]; const FEATURED_IDS = ["pr-reviewer", "spec-drafter", "csv-analyst"]; const REVIEWS = { "pr-reviewer": [ { user: "marina@kepler", rating: 5, when: "3d ago", text: "Cut our PR review queue in half. The risk classification is tighter than expected — almost no false 'high' flags.", verified_team: true }, { user: "@dvora", rating: 5, when: "1w ago", text: "Best signal-to-noise of any review bot we've tried. Inline comments are short and specific.", verified_team: false }, { user: "ops@northwind", rating: 4, when: "2w ago", text: "Wish it ran tests. Otherwise solid.", verified_team: true }, ], "spec-drafter": [ { user: "@pm-jules", rating: 5, when: "5d ago", text: "Open-questions list alone is worth the install. Saves the awkward 'what didn't we decide?' meeting.", verified_team: false }, { user: "alex@reservoir", rating: 4, when: "2w ago", text: "Good first draft. Always needs a human pass for tone.", verified_team: true }, ], }; const RELATED = { "pr-reviewer": ["secret-scanner", "schema-migrator", "design-token-sync"], "spec-drafter": ["meeting-recap", "competitive-scan", "research-summarizer"], "csv-analyst": ["schema-migrator", "research-summarizer"], "deploy-agent": ["secret-scanner", "schema-migrator"], "research-summarizer": ["competitive-scan", "spec-drafter"], "incident-postmortem": ["meeting-recap", "deploy-agent"], "schema-migrator": ["csv-analyst", "deploy-agent"], "design-token-sync": ["ux-copy-editor", "pr-reviewer"], "meeting-recap": ["spec-drafter", "incident-postmortem"], "secret-scanner": ["pr-reviewer", "deploy-agent"], "ux-copy-editor": ["design-token-sync", "spec-drafter"], "competitive-scan": ["research-summarizer", "spec-drafter"], }; const INSTALLED_IDS = ["pr-reviewer", "csv-analyst", "secret-scanner"]; const SAVED_IDS = ["spec-drafter", "research-summarizer"]; window.SKILLS = SKILLS; window.SKILLS_BY_ID = Object.fromEntries(SKILLS.map(s => [s.id, s])); window.COLLECTIONS = COLLECTIONS; window.USE_CASE_ROWS = USE_CASE_ROWS; window.TRENDING_IDS = TRENDING_IDS; window.FEATURED_IDS = FEATURED_IDS; window.REVIEWS = REVIEWS; window.RELATED = RELATED; window.INSTALLED_IDS = INSTALLED_IDS; window.SAVED_IDS = SAVED_IDS;