Evan
7881d327a5
* refactor: migrate icon fields from emoji to lucide:<name> tokens
Every TOML manifest's `icon = "<emoji>"` line is replaced with
`icon = "lucide:<kebab-name>"` — a reference to a lucide-react icon,
which the librefang.ai site and dashboard render as crisp SVG. Reasons
for the switch:
- Emoji render very differently across OS/browser/font stacks; the
registry catalog looked inconsistent from one row to the next.
- Five manifests (clip / creator / linkedin / reddit / twitter) had
their icons stored as literal Python-style escape strings
("\\U0001F3AC") because the TOML parser upstream never decoded
them. Switching away from emoji drops that class of bug entirely.
- As a drive-by, also decode the \\uXXXX accent escapes in the
[i18n.fr] block of hands/creator/HAND.toml so "Créateur" shows
up correctly.
87 files touched. example manifests left untouched (still "TODO").
* fix: backfill i18n name + drop the single-member email category
- Every existing [i18n.<lang>] block now has a `name` field. 60 files
previously translated description but kept the English name
implicitly — which rendered as "some English some Chinese" in the
registry UI. Fill in the missing name from the English brand (or a
known localized equivalent: DingTalk→钉钉, Feishu→飞书, Email→
电子邮件 / メール / E-Mail / Correo / Courriel, and a handful of
hands that have Chinese product names like 视频剪辑 Hand).
- channels/email.toml was the only item under category="email";
reclassify it as "messaging" so the sub-category filter chip list
on the category page isn't littered with singletons.
* feat(i18n): localize 76 agents/integrations/plugins into 7 languages
Adds full [i18n.zh], [i18n.zh-TW], [i18n.ja], [i18n.ko], [i18n.de],
[i18n.es], [i18n.fr] blocks with name + description to every manifest
that previously shipped English-only.
Coverage:
- 32 agents (academic-researcher, analyst, architect, assistant,
code-reviewer, coder, customer-support, data-scientist, debugger,
devops-lead, doc-writer, email-assistant, health-tracker,
hello-world, home-automation, legal-assistant, meeting-assistant,
ops, orchestrator, personal-finance, planner, recipe-assistant,
recruiter, researcher, sales-assistant, security-auditor,
social-media, test-engineer, translator, travel-planner, tutor,
writer)
- 33 integrations (AWS, Azure, Bitbucket, Brave Search, Discord,
Dropbox, Elasticsearch, Exa Search, Fetch, Filesystem, GCP, Git,
GitHub, GitLab, Gmail, Google Calendar, Google Drive, Google Maps,
Jira, Linear, Memory, MongoDB, Notion, PostgreSQL, Puppeteer, Redis,
Sentry, Sequential Thinking, Slack, SQLite, Teams, Time, Todoist) —
brand names kept as-is across all locales, only descriptions
translated.
- 11 plugins (auto-summarizer, context-decay, conversation-logger,
episodic-memory, guardrails, keyword-memory, mempalace-indexer,
sentiment-tracker, todo-tracker, topic-memory, user-profile)
The descriptions are one-line summaries — hand-translated rather than
machine-generated, so technical terms (MCP, PR, CI/CD, etc.) stay
consistent across locales.
* feat(i18n): close remaining per-lang gaps for channels, workflows, devteam
Third pass on i18n coverage. Every non-example manifest now carries a
full set of [i18n.zh], [i18n.zh-TW], [i18n.ja], [i18n.ko], [i18n.de],
[i18n.es], [i18n.fr] blocks.
- 44 channel adapters: added French descriptions (zh/zh-TW/ja/ko/de/es
were already present). Brand names kept as-is in all locales so users
recognize Discord / Slack / LINE / etc. consistently.
- 22 workflows: filled zh-TW / ja / ko / de / es / fr blocks. Each
translation mirrors the existing zh one in structure and tone so the
catalog reads consistently across locales.
- hands/devteam/HAND.toml: added the four langs that were missing
(zh-TW, de, es, fr).
Only the 6 templates under examples/ are left without i18n blocks on
purpose — they still contain "TODO:" placeholders.
94 lines
2.7 KiB
TOML
94 lines
2.7 KiB
TOML
name = "data-scientist"
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version = "0.4.3-beta3-20260314"
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description = "Data scientist. Analyzes datasets, builds models, creates visualizations, performs statistical analysis."
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author = "librefang"
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module = "builtin:chat"
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[metadata.routing]
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aliases = ["data science", "build model", "train model", "machine learning"]
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weak_aliases = ["modeling", "statistics"]
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[model]
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provider = "default"
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model = "default"
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api_key_env = "GEMINI_API_KEY"
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max_tokens = 4096
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temperature = 0.3
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system_prompt = """You are Data Scientist, an analytics expert running inside the LibreFang Agent OS.
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Your methodology:
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1. UNDERSTAND: What question are we answering?
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2. EXPLORE: Examine data shape, distributions, missing values
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3. ANALYZE: Apply appropriate statistical methods
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4. MODEL: Build predictive models when needed
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5. COMMUNICATE: Present findings clearly with evidence
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Statistical toolkit:
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- Descriptive stats: mean, median, std, percentiles
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- Hypothesis testing: t-test, chi-squared, ANOVA
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- Correlation and regression analysis
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- Time series analysis
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- Clustering and dimensionality reduction
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- A/B test design and analysis
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Output format:
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- Executive summary (1-2 sentences)
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- Key findings (numbered, with confidence levels)
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- Data quality notes
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- Methodology description
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- Recommendations with supporting evidence
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- Caveats and limitations"""
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[[fallback_models]]
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provider = "default"
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model = "default"
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api_key_env = "GROQ_API_KEY"
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[resources]
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max_llm_tokens_per_hour = 150000
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[capabilities]
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tools = [
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"file_read",
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"file_write",
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"file_list",
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"shell_exec",
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"web_search",
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"web_fetch",
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"memory_store",
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"memory_recall",
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]
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network = ["*"]
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memory_read = ["*"]
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memory_write = ["self.*", "shared.*"]
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shell = ["python *"]
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[i18n.zh]
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name = "数据科学家"
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description = "数据科学家：分析数据集、建立模型、生成可视化、执行统计分析。"
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[i18n.zh-TW]
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name = "資料科學家"
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description = "資料科學家：分析資料集、建立模型、生成視覺化、執行統計分析。"
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[i18n.ja]
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name = "データサイエンティスト"
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description = "データセット分析、モデル構築、可視化、統計分析を行う。"
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[i18n.ko]
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name = "데이터 과학자"
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description = "데이터셋 분석, 모델 구축, 시각화, 통계 분석을 수행."
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[i18n.de]
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name = "Data Scientist"
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description = "Analysiert Datensätze, erstellt Modelle, visualisiert Ergebnisse und führt statistische Analysen durch."
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[i18n.es]
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name = "Científico de datos"
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description = "Analiza conjuntos de datos, construye modelos, genera visualizaciones y realiza análisis estadísticos."
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[i18n.fr]
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name = "Data scientist"
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description = "Analyse des jeux de données, construit des modèles, crée des visualisations et effectue des analyses statistiques."
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