Excel and CSV Data Analysis
bytedance/deer-flow
Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.
Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies.
MITAuto-check passed
Install AI Agent Tool Routing
$ npx skills add sickn33/agentic-awesome-skills --skill ai-agent-tool-routing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-agent-tool-routing --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-agent-tool-routing .claude/skills/ai-agent-tool-routing && 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 "ai-agent-tool-routing" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-agent-tool-routing into .claude/skills/ai-agent-tool-routing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-tool-routing", 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/sickn33/agentic-awesome-skills/tree/main/skills/ai-agent-tool-routingType 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 sickn33/agentic-awesome-skills --skill ai-agent-tool-routing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-agent-tool-routing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-agent-tool-routing .agents/skills/ai-agent-tool-routing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-agent-tool-routing" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-agent-tool-routing into .agents/skills/ai-agent-tool-routing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-tool-routing", 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 sickn33/agentic-awesome-skills --skill ai-agent-tool-routing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-agent-tool-routing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-agent-tool-routing .cursor/skills/ai-agent-tool-routing && 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 "ai-agent-tool-routing" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-agent-tool-routing into .cursor/skills/ai-agent-tool-routing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-tool-routing", 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/sickn33/agentic-awesome-skills.git --path skills/ai-agent-tool-routing--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 sickn33/agentic-awesome-skills --skill ai-agent-tool-routing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-agent-tool-routing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-agent-tool-routing .gemini/skills/ai-agent-tool-routing && 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 "ai-agent-tool-routing" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-agent-tool-routing into .gemini/skills/ai-agent-tool-routing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-tool-routing", 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 sickn33/agentic-awesome-skills ai-agent-tool-routingInstalls 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 sickn33/agentic-awesome-skills --skill ai-agent-tool-routing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-agent-tool-routing .github/skills/ai-agent-tool-routing && 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 "ai-agent-tool-routing" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-agent-tool-routing into .github/skills/ai-agent-tool-routing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-tool-routing", 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 sickn33/agentic-awesome-skills --skill ai-agent-tool-routing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-agent-tool-routing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-agent-tool-routing .opencode/skills/ai-agent-tool-routing && 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 "ai-agent-tool-routing" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-agent-tool-routing into .opencode/skills/ai-agent-tool-routing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-tool-routing", 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.
Facts
- Skill name
ai-agent-tool-routing- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1.4k tokens
- SKILL.md length
- 511 words
- Files
- 1
- Skills in repo
- 1,497
- Repo updated
- First seen
- Licence
- MIT
At a glance
Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies.
- Works in 3 steps: Define the parameters, thresholds, and… → Select appropriate boundary enforcement… → Export standardized artifacts (CSV…
- SKILL.md covers Overview, When to Use This Skill, How It Works and Field Reference, plus 9 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI Agent Tool Routing is an agent skill from sickn33/agentic-awesome-skills. Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with SQL. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Example prompts
- “/ai-agent-tool-routing”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Define the parameters, thresholds, and identity bindings required for the target operational register.
- Select appropriate boundary enforcement values from validated enum select sets.
- Export standardized artifacts (CSV table, SQL DDL, JSON Schema) to integrate into validation CI pipelines.
What it can do on your machine
Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI Agent Tool Routing loads about 1.4k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 511 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 511 words, ~1,368 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-agent-tool-routing/SKILL.md (or your agent's skills folder).- name
- ai-agent-tool-routing
- description
- Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies.
- category
- engineering
- risk
- safe
- source
- self
- source_type
- self
- date_added
- 2026-10-01
- author
- Ranjeet2063
- tags
- ai, agents, tool-use, mcp, llm, automation, python
- source_repo
- Ranjeet2063/agentic-awesome-skills
Autonomous AI Agent Tool Routing
What it is: Coordinates discovery, runtime execution bounds, and fault-tolerant retry policies for external tools consumed by autonomous AI coding agents.
Overview
Provides a standardized, auditable framework and data model for Autonomous AI Agent Tool Routing operations across distributed engineering and decentralized application systems.
When to Use This Skill
- When formalizing architectural contracts, security invariants, or operational limits for Autonomous AI Agent Tool Routing.
- When cross-functional review is required between protocol developers, smart contract auditors, and AI engineering agents.
- When generating reproducible CSV, SQL DDL, JSON Schema, and Notion property registers for tracking compliance.
How It Works
- Define the parameters, thresholds, and identity bindings required for the target operational register.
- Select appropriate boundary enforcement values from validated enum select sets.
- Export standardized artifacts (CSV table, SQL DDL, JSON Schema) to integrate into validation CI pipelines.
Field Reference
| # | Field Name | Type | SQL Type | JSON Schema Type | Notion Property Type | Example Value |
|---|---|---|---|---|---|---|
| 1 | Tool Definition ID | id | SERIAL PRIMARY KEY | integer | Text | TOOL-001 |
| 2 | Tool Canonical Name | text | VARCHAR(64) | string | Text | stellar_ledger_query |
| 3 | Target Protocol / Server | text | VARCHAR(64) | string | Text | Stellar Horizon RPC |
| 4 | Invocation Mode | select | VARCHAR(32) | string | Select | Synchronous |
| 5 | Idempotency Enforced | select | VARCHAR(16) | string | Select | Yes |
| 6 | Parameter Coercion Strategy | select | VARCHAR(64) | string | Select | Strict Pydantic V2 |
| 7 | Rate Limit Requests Per Min | number | INTEGER | number | Number | 120 |
| 8 | Retry Backoff Policy | select | VARCHAR(32) | string | Select | Exponential with Jitter |
| 9 | Timeout Threshold Ms | number | INTEGER | number | Number | 5000 |
| 10 | Router Registration Status | select | VARCHAR(32) | string | Select | Active Verified |
| 11 | Last Validation Date | date | DATE | string, format: date | Date | 2026-10-01 |
Select Options
Invocation Mode
Synchronous | Asynchronous Background | Scheduled CronIdempotency Enforced
Yes | NoParameter Coercion Strategy
Strict Pydantic V2 | JSON Schema Draft 7 | Permissive FallbackRetry Backoff Policy
Exponential with Jitter | Linear Step | Immediate ReversionRouter Registration Status
Draft | Active Verified | Deprecated | BlockedRelations
Audit Reference-> links to the formal review documentation or test repository.Target Architecture-> links to the deployed contract or autonomous agent runtime component.
Show full SKILL.md (204 more words)Show less
Examples
Prompt
How do I configure and track Autonomous AI Agent Tool Routing for our production environment?Recommended Next Step
Generate the unified field schema, SQL DDL migration, and JSON validation schema to register into your system catalog.
Workflow: Define criteria -> Run automated verification -> Record baseline -> Monitor invariants.
Best Practices
- Enforce strict typing on numerical bounds and currency amounts; avoid unstructured free-text fields for critical states.
- Re-run validation test suites on every state-altering commit or parameter change.
- Keep example data synthetic and isolated from production cryptographic keys or private endpoints.
Limitations
- Provides architectural specifications, data models, and verification schemas; does not execute direct transaction signing without authorized external tooling.
- Requires network connectivity and valid RPC credentials when querying on-chain states.
Security & Safety Notes
- All parameters declare
risk: safe. No unauthorized state modification or privileged credential access is performed. - Use synthetic dummy keys and mock addresses in test suites and local verification scripts.
Common Pitfalls
- Problem: Mismatched decimal precision between contract runtime and database register. Solution: Always verify decimals using the explicit field mapping in this reference.
- Problem: Missing authorization checks prior to state update. Solution: Cross-validate against the Security Audit register before deployment.
Related Skills
- @ai-prompt-regression-testing - covers prompt regression baselines and drift.
- @web3-rate-limiting-circuit-breaker - provides operational guardrails and threshold breakers.
- @cross-chain-relayer-audit - covers message hashes, nonces and quorum proofs.
Reusable Prompt
I want to establish a verified Autonomous AI Agent Tool Routing register for our production protocol.
Guide me through the required field parameters and output the corresponding SQL DDL and JSON Schema.© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/ai-agent-tool-routing of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit b84d35a
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
AI Agent Tool Routing 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 |
|---|---|---|---|---|---|---|
| AI Agent Tool Routing this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 84k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Clickhouse Logs Queriessupabase/supabase | 111k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Review PRapache/shardingsphere | 21k | — | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Django Filter Benchmarksaleor/saleor | 23k | — | ~2.3k | Automated safety check: Pass | BSD-3-Clause | |
| Citus Check Style Reindentcitusdata/citus | 13k | — | ~1.5k | Automated safety check: Notes | AGPL-3.0 |
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Questions about AI Agent Tool Routing
What does AI Agent Tool Routing do?
Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies. AI Agent Tool Routing is an agent skill from sickn33/agentic-awesome-skills. Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies.
How do I install AI Agent Tool Routing in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill ai-agent-tool-routing -a claude-code`. Or copy the skill folder (skills/ai-agent-tool-routing in sickn33/agentic-awesome-skills) into .claude/skills/ai-agent-tool-routing in your project. Claude Code loads it when a task matches its description.
How do I install AI Agent Tool Routing in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill ai-agent-tool-routing -a codex`. Or copy the skill folder (skills/ai-agent-tool-routing in sickn33/agentic-awesome-skills) into .agents/skills/ai-agent-tool-routing in your project. Codex loads it when a task matches its description.
Can I use AI Agent Tool Routing in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill ai-agent-tool-routing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-agent-tool-routing, .gemini/skills/ai-agent-tool-routing, .github/skills/ai-agent-tool-routing and .opencode/skills/ai-agent-tool-routing in your project.
What does AI Agent Tool Routing need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Agent Tool Routing is instructions for the agent only.
Does AI Agent Tool Routing access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is AI Agent Tool Routing safe to install?
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.
What licence does AI Agent Tool Routing use?
AI Agent Tool Routing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Agent Tool Routing use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Agent Tool Routing?
Skills that share tags, products or a category with AI Agent Tool Routing: Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Clickhouse Logs Queries (supabase/supabase, 111k stars), Review PR (apache/shardingsphere, 21k stars) and Django Filter Benchmark (saleor/saleor, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Agent Tool Routing?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.