/learn-stats
Report spaced-repetition statistics: total facts, overdue count, retention rate, active decks, and facts added this week. Use when the user says "stats", "estatísticas", "como está meu aprendizado", "/learn-stats", or wants a dashboard of their learning loop.
$ npx -y skills add evolution-foundation/evo-nexus --skill learn-stats --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/learn-stats
Context preview
The summary Claude sees to decide when to auto-load this skill.
Report spaced-repetition statistics: total facts, overdue count, retention rate, active decks, and facts added this week. Use when the user says "stats", "estatísticas", "como está meu aprendizado", "/learn-stats", or wants a dashboard of their learning loop.
SKILL.md
learn-stats.SKILL.mdname: learn-stats
description: Report spaced-repetition statistics: total facts, overdue count, retention rate, active decks, and facts added this week. Use when the user says "stats", "estatísticas", "como está meu aprendizado", "/learn-stats", or wants a dashboard of their learning loop.
Learn Stats
Reads `workspace/learning/facts/` and `workspace/learning/.state/review-log.jsonl` to produce a markdown stats report.
Trigger
User wants a snapshot of their learning loop health.
Workflow
Step 1 — Read facts
1. Read all `.md` files in `workspace/learning/facts/` 2. Parse frontmatter of each file 3. Get today's date (YYYY-MM-DD) 4. Compute:
- `total` = count of all fact files
- `overdue` = count where `next_review <= today`
- `active_decks` = count of unique `deck` values across all facts
- `added_this_week` = count where `created >= today - 7 days`
If `workspace/learning/facts/` does not exist or is empty: > "Nenhum fato encontrado. Use /learn-capture para adicionar fatos primeiro." > Stop here.
Step 2 — Read review log
1. Read `workspace/learning/.state/review-log.jsonl` line by line (each line is a JSON object) 2. If the file does not exist or is empty: `total_reviews = 0`, `retention_rate = "N/A"` 3. If it exists:
- `total_reviews` = count of all log entries
- `good_easy_count` = count where `grade == "good"` OR `grade == "easy"`
- `retention_rate` = `round(good_easy_count / total_reviews * 100)%`
Step 3 — Output report
Print in markdown, in **pt-BR**:
## 📊 Learning Loop — Stats
| Métrica | Valor |
|---------------------|--------------|
| Total de fatos | {total} |
| Vencidos hoje | {overdue} |
| Taxa de retenção | {retention_rate} ({good_easy_count}/{total_reviews} revisões) |
| Decks ativos | {active_decks} |
| Adicionados (7 dias)| {added_this_week} |
**Data:** {today YYYY-MM-DD}If `overdue > 0`: > 💡 Use `/learn-review` para revisar os fatos vencidos.
If `total < 10`: > 💡 Use `/learn-capture` para adicionar mais fatos (meta v0: 20 fatos em 2 semanas).
Step 4 (optional) — List overdue facts
If `overdue > 0` and `overdue <= 10`, list them:
### Fatos vencidos
- `{filename}` (deck: {deck}, venceu: {next_review})
> {Retrieval Q — first 80 chars}Constraints
- **Read-only.** Do NOT modify any file.
- Do NOT write to review-log.jsonl.
- If log is missing (user hasn't reviewed yet), show `N/A` for retention — do not error.
- Round retention_rate to nearest integer (no decimal places).
Read more
name: learn-stats description: Report spaced-repetition statistics: total facts, overdue count, retention rate, active decks, and facts added this week. Use when the user says "stats", "estatísticas", "como está meu aprendizado", "/learn-stats", or wants a dashboard of their learning loop.
Learn Stats
Reads `workspace/learning/facts/` and `workspace/learning/.state/review-log.jsonl` to produce a markdown stats report.
Trigger
User wants a snapshot of their learning loop health.
Workflow
Step 1 — Read facts
1. Read all `.md` files in `workspace/learning/facts/` 2. Parse frontmatter of each file 3. Get today's date (YYYY-MM-DD) 4. Compute:
- `total` = count of all fact files
- `overdue` = count where `next_review <= today`
- `active_decks` = count of unique `deck` values across all facts
- `added_this_week` = count where `created >= today - 7 days`
If `workspace/learning/facts/` does not exist or is empty: > "Nenhum fato encontrado. Use /learn-capture para adicionar fatos primeiro." > Stop here.
Step 2 — Read review log
1. Read `workspace/learning/.state/review-log.jsonl` line by line (each line is a JSON object) 2. If the file does not exist or is empty: `total_reviews = 0`, `retention_rate = "N/A"` 3. If it exists:
- `total_reviews` = count of all log entries
- `good_easy_count` = count where `grade == "good"` OR `grade == "easy"`
- `retention_rate` = `round(good_easy_count / total_reviews * 100)%`
Step 3 — Output report
Print in markdown, in **pt-BR**:
## 📊 Learning Loop — Stats
| Métrica | Valor |
|---------------------|--------------|
| Total de fatos | {total} |
| Vencidos hoje | {overdue} |
| Taxa de retenção | {retention_rate} ({good_easy_count}/{total_reviews} revisões) |
| Decks ativos | {active_decks} |
| Adicionados (7 dias)| {added_this_week} |
**Data:** {today YYYY-MM-DD}If `overdue > 0`: > 💡 Use `/learn-review` para revisar os fatos vencidos.
If `total < 10`: > 💡 Use `/learn-capture` para adicionar mais fatos (meta v0: 20 fatos em 2 semanas).
Step 4 (optional) — List overdue facts
If `overdue > 0` and `overdue <= 10`, list them:
### Fatos vencidos
- `{filename}` (deck: {deck}, venceu: {next_review})
> {Retrieval Q — first 80 chars}Constraints
- **Read-only.** Do NOT modify any file.
- Do NOT write to review-log.jsonl.
- If log is missing (user hasn't reviewed yet), show `N/A` for retention — do not error.
- Round retention_rate to nearest integer (no decimal places).
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Open skill - /create-agent
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Open skill - /create-command
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Open skill - /create-goal
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Open skill - /create-heartbeat
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Open skill - /create-integration
Create a new custom integration (API/service wrapper) for the workspace. Guides the user through defining the integration's slug, display name, description, category, and required env keys. Writes .claude/skills/custom-int-{slug}/SKILL.md via POST /api/integrations/custom. Use
Open skill

