DeerFlow HTTP API Client
bytedance/deer-flow
Talks to a running DeerFlow agent platform over its HTTP API to send research questions, stream replies, check health and manage models, skills, memory and uploads.
Agent skill
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Reference architectures for Lindy AI agent integrations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-reference-architecture -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lindy-reference-architecture --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/lindy-reference-architecture .claude/skills/lindy-reference-architecture && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "lindy-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lindy-reference-architecture into .claude/skills/lindy-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lindy-reference-architecture", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lindy-reference-architectureType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-reference-architecture -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lindy-reference-architecture --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/lindy-reference-architecture .agents/skills/lindy-reference-architecture && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lindy-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lindy-reference-architecture into .agents/skills/lindy-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lindy-reference-architecture", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-reference-architecture -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lindy-reference-architecture --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/lindy-reference-architecture .cursor/skills/lindy-reference-architecture && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lindy-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lindy-reference-architecture into .cursor/skills/lindy-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lindy-reference-architecture", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/lindy-reference-architecture--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-reference-architecture -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lindy-reference-architecture --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/lindy-reference-architecture .gemini/skills/lindy-reference-architecture && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lindy-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lindy-reference-architecture into .gemini/skills/lindy-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lindy-reference-architecture", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lindy-reference-architectureInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-reference-architecture -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/lindy-reference-architecture .github/skills/lindy-reference-architecture && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lindy-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lindy-reference-architecture into .github/skills/lindy-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lindy-reference-architecture", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-reference-architecture -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lindy-reference-architecture --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/lindy-reference-architecture .opencode/skills/lindy-reference-architecture && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lindy-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lindy-reference-architecture into .opencode/skills/lindy-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lindy-reference-architecture", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
lindy-reference-architectureReference architectures for Lindy AI agent integrations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Lindy Reference Architecture is an agent skill from jeremylongshore/tons-of-skills-marketplace. Reference architectures for Lindy AI agent integrations. Use when designing systems, planning multi-agent architectures, or implementing production integration patterns. Trigger with phrases like "lindy architecture", "lindy design", "lindy system design", "lindy patterns", "lindy multi-agent".
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation-guide.md`). Compatibility notes: Portable instructions for agent harnesses that can read Markdown and edit architecture documents
It sits in Backend & APIs, covering Third-party API integration and Multi-agent orchestration. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
public.lindy.aiAlso links to:
docs.lindy.aiFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Portable instructions for agent harnesses that can read Markdown and edit architecture documents
From compatibility in the SKILL.md frontmatter.
Lindy Reference Architecture loads about 3.2k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 1,077 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 1,077 words, ~3,219 tokens.
.claude/skills/lindy-reference-architecture/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Choose an integration shape for Lindy workflows without inventing a public SDK or control-plane API. The supported application boundary in these patterns is a dashboard-created Lindy webhook trigger, optionally paired with Lindy's HTTP Request or callback action for outbound delivery.
https://public.lindy.ai/api/v1/webhooks/... shape. Validate https: and the exact
public.lindy.ai hostname before attaching its Lindy-generated trigger secret.Single agent triggered by your application, results sent via callback.
┌─────────────┐ POST (webhook) ┌──────────────┐
│ Your App │ ─────────────────────────→ │ Lindy Agent │
│ │ │ │
│ /callback │ ←───────────────────────── │ HTTP Request │
│ │ POST (callback) │ Action │
└─────────────┘ └──────────────┘Implementation:
Best for: Simple automations (email triage, lead scoring, content generation)
Multiple event sources feed agents through a central webhook router.
┌──────────┐
│ Stripe │──webhook──┐
└──────────┘ │
▼
┌──────────┐ ┌───────────┐ ┌──────────────┐
│ Shopify │──→ │ Router │──→ │ Lindy Agents │
└──────────┘ │ Service │ │ │
└───────────┘ │ • Order Bot │
┌──────────┐ ▲ │ • Support Bot│
│ Your App │──webhook──┘ │ • Analytics │
└──────────┘ └──────────────┘Implementation:
authenticated producer
-> schema and size validation
-> field allowlist and redaction
-> idempotent durable queue
-> route chosen from a static event-to-trigger map
-> exact HTTPS/public.lindy.ai sink check
-> attach only that route's trigger secret
-> bounded delivery and response validation
-> receipt with event ID, route, attempt count, and status (never payload/secret)Keep the event-to-trigger map in trusted configuration rather than request data. The downloadable implementation guide contains a secure sender boundary; it deliberately uses documented webhook primitives rather than an assumed SDK client.
Best for: Multiple event sources, different agents per event type
Specialized workflows collaborate through the agent-to-agent actions or webhook edges that are visibly available in the current workspace. Do not assume an action name, delivery guarantee, or universal delegation entitlement from this document.
┌─────────────────┐
│ Orchestrator │
│ Lindy │
│ (receives │
│ initial task) │
└───┬────────┬────┘
│ │
▼ ▼
┌────────┐ ┌────────┐
│Research│ │Analysis│
│ Lindy │ │ Lindy │
└───┬────┘ └───┬────┘
│ │
▼ ▼
┌─────────────────┐
│ Writer Lindy │
│ (synthesizes │
│ final output) │
└─────────────────┘Setup in Lindy:
Key decisions:
| Decision | Option A | Option B |
|---|---|---|
| Context passing | Full context (accurate, expensive) | Selective context (cheap, focused) |
| Error handling | Agent retries | Orchestrator retry logic |
| Parallelism | Sequential delegation | Parallel delegation with merge |
Best for: Complex tasks requiring multiple specialties (research + analysis + writing)
Agents run on schedules, each feeding data to the next.
Schedule: Daily 6 AM
│
▼
┌──────────────┐
│ Data Fetch │ Pulls from APIs/databases
│ Lindy │
└──────┬───────┘
│ Agent Send Message
▼
┌──────────────┐
│ Analysis │ Processes & summarizes
│ Lindy │
└──────┬───────┘
│ Agent Send Message
▼
┌──────────────┐
│ Report │ Formats & delivers
│ Lindy │
│ → Slack │
│ → Email │
└──────────────┘Best for: Daily reports, weekly digests, scheduled data processing
Agent exposed through a chat surface currently supported by the workspace and grounded in an approved knowledge base.
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ Website │ │ Lindy Agent │ │ Knowledge │
│ (Embed │◀──▶ │ │◀──▶ │ Base │
│ Widget) │ │ Chat Trigger │ │ PDFs, Docs, │
└──────────────┘ │ + KB Search │ │ Websites │
│ + Condition │ └──────────────┘
│ + Escalate │
└──────────────┘
│
▼ (if escalation needed)
┌──────────────┐
│ Slack DM to │
│ human agent │
└──────────────┘Deployment boundary:
Best for: Customer support, FAQ bots, internal knowledge assistants
| Pattern | Choose when | Measure before approval | Primary risk |
|---|---|---|---|
| Simple webhook | One bounded async workflow | end-to-end latency, duplicate rate | callback spoofing |
| Event-driven pipeline | Multiple producers or replay required | queue lag, retry volume | event/data fan-out |
| Multi-agent workflow | Specialist boundaries improve quality | completion rate, context size | authority drift |
| Scheduled pipeline | Work is naturally periodic | freshness, missed-run recovery | silent schedule gaps |
| Chat + knowledge base | Users need interactive retrieval | answer quality, escalation rate | sensitive retrieval |
| Pattern | Failure Mode | Recovery |
|---|---|---|
| Simple webhook | Agent fails or callback is rejected | retain receipt; retry within budget; escalate |
| Event-driven | Router or downstream unavailable | keep durable event; replay idempotently |
| Multi-agent | Specialist times out or returns invalid data | stop synthesis or use approved partial-result policy |
| Scheduled | Run is missed | alert; perform an explicit catch-up run if safe |
| Chat + KB | Evidence is absent or access is denied | say no answer; escalate without exposing hidden data |
Return two reviewable artifacts:
No output may contain webhook URLs, bearer values, customer payloads, or copied runtime configuration. Use route names and redacted identifiers in diagrams and receipts.
For an order-triage workflow, choose the event-driven pattern and record:
decision: event-driven-webhook
event: order.created.v1
allowed_fields: [event_id, order_id, country_code, risk_band]
durable_before_ack: true
idempotency_key: event_id
trigger_route: lindy-order-triage
trigger_sink: https/public.lindy.ai
callback_auth: distinct-from-trigger
retry_budget: "3 attempts within 5 minutes"
rollback: "pause consumer and retain queued events"
evidence: "authorized task created; unauthorized request created no task"The record names the sink class, not the unique webhook path, and includes no order contents or credentials. A reviewer can reproduce both the accepted and rejected paths with synthetic IDs before production traffic is enabled.
Proceed to Flagship tier skills for enterprise features: multi-env, observability, incident response, data handling, RBAC, and migration.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/.curated/lindy-reference-architecture of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Lindy Reference Architecture next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lindy Reference Architecture this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~3.2k | Automated safety check: Pass | MIT | |
| DeerFlow HTTP API Clientbytedance/deer-flow | 84k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Mission Control Agent APIbuilderz-labs/mission-control | 6.3k | — | ~2.1k | Automated safety check: Pass | MIT | |
| MCP API Key AuthenticationYourdaylight/stock_datasource | 189 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Atlassian MCP ExpertJeffallan/claude-skills | 12k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Agentmemory REST APIrohitg00/agentmemory | 29k | — | ~404 | Automated safety check: Pass | Apache-2.0 |
bytedance/deer-flow
Talks to a running DeerFlow agent platform over its HTTP API to send research questions, stream replies, check health and manage models, skills, memory and uploads.
builderz-labs/mission-control
Teaches an agent to use the Mission Control dashboard API: register, send heartbeats, fetch assigned tasks, report progress and disconnect, with API key auth.
Yourdaylight/stock_datasource
Sets up and troubleshoots MCP API key authentication for a stock data service, covering key creation, client configuration and per-tool usage statistics.
Jeffallan/claude-skills
Queries and edits Jira issues and Confluence pages through an MCP server, covering JQL and CQL queries, server setup, authentication and sprint or backlog workflows.
rohitg00/agentmemory
Covers the HTTP REST endpoints of the agentmemory server, its primary interface, for hosts without MCP or when MCP is unavailable.
BlockRunAI/blockrun-mcp
GenTech Labs' integration patterns for BlockRun MCP from Hermes Agent.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Categories
Reference architectures for Lindy AI agent integrations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Lindy Reference Architecture is an agent skill from jeremylongshore/tons-of-skills-marketplace. Reference architectures for Lindy AI agent integrations.
Lindy Reference Architecture fits situations like: designing systems; planning multi-agent architectures; implementing production integration patterns; with phrases like lindy architecture.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-reference-architecture -a claude-code`. Or copy the skill folder (skills/.curated/lindy-reference-architecture in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/lindy-reference-architecture in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-reference-architecture -a codex`. Or copy the skill folder (skills/.curated/lindy-reference-architecture in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/lindy-reference-architecture in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-reference-architecture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lindy-reference-architecture, .gemini/skills/lindy-reference-architecture, .github/skills/lindy-reference-architecture and .opencode/skills/lindy-reference-architecture in your project.
SKILL.md names no scripts, command-line tools or credentials: Lindy Reference Architecture is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Portable instructions for agent harnesses that can read Markdown and edit architecture documents.
SKILL.md names 2 domains. In commands or code: public.lindy.ai; the agent is likely to contact it when it follows the instructions. As links in the text: docs.lindy.ai. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Lindy Reference Architecture is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Lindy Reference Architecture: DeerFlow HTTP API Client (bytedance/deer-flow, 84k stars), Mission Control Agent API (builderz-labs/mission-control, 6.3k stars), MCP API Key Authentication (Yourdaylight/stock_datasource, 189 stars) and Atlassian MCP Expert (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.