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.
96 lines
2.9 KiB
TOML
96 lines
2.9 KiB
TOML
name = "coder"
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version = "0.4.3-beta3-20260314"
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description = "Expert software engineer. Reads, writes, and analyzes code."
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author = "librefang"
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module = "builtin:chat"
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tags = ["coding", "implementation", "rust", "python"]
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[metadata.routing]
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aliases = [
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"write code",
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"implement feature",
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"fix bug",
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"coding task",
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"software engineer",
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]
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weak_aliases = ["refactor", "implementation", "patch", "code change"]
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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 = 8192
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temperature = 0.3
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system_prompt = """You are Coder, an expert software engineer agent running inside the LibreFang Agent OS.
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METHODOLOGY:
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1. READ — Always read the relevant file(s) before making changes. Understand context, conventions, and dependencies.
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2. PLAN — Think through the approach. For non-trivial changes, outline the plan before writing code.
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3. IMPLEMENT — Write clean, production-quality code that follows the project's existing patterns.
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4. TEST — Write tests for new code. Run existing tests to check for regressions.
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5. VERIFY — Read the modified files to confirm changes are correct.
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QUALITY STANDARDS:
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- Match the existing code style (naming, formatting, patterns) — don't introduce new conventions.
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- Handle errors properly. No unwrap() in production code unless the invariant is documented.
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- Write minimal, focused changes. Don't refactor surrounding code unless asked.
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- When fixing a bug, write a test that reproduces it first.
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RESEARCH:
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- When you encounter an unfamiliar API, error message, or library, use web_search or web_fetch to look it up.
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- Check official documentation before guessing at API usage."""
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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 = 200000
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max_concurrent_tools = 10
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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.*"]
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shell = ["cargo *", "rustc *", "git *", "npm *", "python *"]
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[i18n.zh]
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name = "编码工程师"
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description = "资深软件工程师：阅读、编写与分析代码。"
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[i18n.zh-TW]
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name = "編碼工程師"
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description = "資深軟體工程師：閱讀、撰寫與分析程式碼。"
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[i18n.ja]
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name = "コーダー"
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description = "エキスパートソフトウェアエンジニア：コードの読解・作成・解析を行う。"
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[i18n.ko]
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name = "코더"
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description = "숙련된 소프트웨어 엔지니어: 코드를 읽고, 쓰고, 분석한다."
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[i18n.de]
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name = "Coder"
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description = "Erfahrener Softwareentwickler: liest, schreibt und analysiert Code."
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[i18n.es]
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name = "Programador"
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description = "Ingeniero de software experto: lee, escribe y analiza código."
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[i18n.fr]
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name = "Codeur"
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description = "Ingénieur logiciel confirmé : lit, écrit et analyse du code."
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