/discover — Weekly Skill & Automation Discovery
SkillCommunication'Proactive skill and automation discovery. Scans 6 data sources (sessions, Linear, Slack, Gmail, Granola, Calendar)
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /discover — Weekly Skill & Automation Discovery skill
What this skill tells your AI
The instructions your AI receives, as published by matteotitta/genesys-skills in skills/meta/learning/discover/SKILL.md and read by ahel’s review.
Proactively identifies repeatable work patterns across your tools and recommends what to automate.
For full process (subcommands, 6 phases, scoring, persistence) → the premium reference.
Claude Code Triggers
Invoke this skill when user says:
- "/discover"
- "What should I automate?"
- "Find repeatable patterns"
- "What skills should I build?"
- "Discovery scan"
- "What am I doing repeatedly?"
Do NOT invoke when:
- User wants to run a specific skill (run that skill directly)
- User wants to create a specific skill (use
/skill-creator) - User wants to audit workspace health (use
/audit)
Subcommands quick reference
| Command | Action | Detail |
|---|---|---|
/discover | Run full discovery scan (default) | 6-phase scan |
/discover status | Pattern DB stats + top 5 BUILD candidates | SQL summary |
/discover dismiss <name> | Mark pattern dismissed | Excluded from future reports |
/discover built <name> <path> | Mark pattern as built | Links to artifact |
/discover history | Pattern evolution over time | Top 20 by recency |
Parse $ARGUMENTS to determine subcommand. Default (no args) = full scan.
For full SQL queries per subcommand → the premium reference.
Core decisions
Scoring framework (8 dimensions, 0 or 1 each)
| # | Dimension | Question |
|---|---|---|
| 1 | frequency | Will this run 5+ times per month? |
| 2 | time_savings | Saves 30+ minutes vs. doing it manually? |
| 3 | quality | Automation produces better/more consistent output? |
| 4 | context_dep | Inherits context from other skills? |
| 5 | distinct | Fills a gap no existing skill covers? |
| 6 | reuse | Works for multiple clients with minimal adaptation? |
| 7 | measurable | Clear criteria for good vs. bad output? |
| 8 | recurrence | Pattern appeared in 3+ separate weekly scans? |
Verdicts
- Score 6-8 = BUILD — create the automation
- Score 4-5 = DEFER — watch for another week
- Score 0-3 = KILL — not worth automating
Automation type selector
| Type | When to recommend |
|---|---|
| skill | Multi-step process with structured output, repeatable across clients |
| hook | Automatic trigger before/after a specific tool use |
| scheduled-agent | Time-based recurring task |
| prompt-chain | Sequence of skills that always run together |
| mcp-workflow | Cross-tool data movement or enrichment |
Auto-promotion rule
If a pattern's occurrence_count >= 3 in the database and it was previously DEFER, set recurrence: 1 which may push to BUILD.
For full classification guide and per-pattern JSON schema → the premium reference.
Data Sources (6)
- Session recall DB (last 7 days)
- Linear (last 7 days)
- Slack (last 7 days)
- Gmail (last 7 days)
- Granola (last 7 days)
- Google Calendar (last 14 days, catches biweekly patterns)
Full SQL queries + MCP calls per source live in the premium reference.
Anti-Hallucination Guardrails
- Verify against existing catalog. Don't mark "distinct" without checking
.claude/skills/meta/catalog/skill-catalog/SKILL.md. - Use real evidence. Each pattern needs source-cited snippets — no invented examples.
- Update existing patterns. Set
is_existing: trueif the pattern already exists in the DB; don't create duplicates. - MCP failures don't block scan. Log the failure, continue with available sources.
Notes
- The session recall DB is the richest source. Linear, Slack, Gmail, Granola, and Calendar add cross-tool visibility.
- Pattern hash uses first 16 chars of SHA-256 — sufficient for personal scale.
- Dismissed patterns stay in DB for history but are excluded from future reports.
- Scheduled-agent runs should complete in 5-10 min. Prioritize sessions + Slack if MCPs are slow.
Signals
- GitHub stars
- 36
- Forks
- 14
- Last commit
- Jul 2026
- Hacker News mentions
- 20
Advanced
- Catalog kind
- skill
- Gateway key
discover-matteotitta- Source
- github.com/matteotitta/genesys-skills