Agent Skill to Search First
Agent Skill to Search First is a verified SKILL blueprint on Promptally in Fullstack & Backend Engineering optimized for leading AI models. Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a utility that may already exist. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | SKILL (Fullstack & Backend Engineering) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 1,772 |
| Source file | SKILL.md |
| Access tier | Free public (MIT) |
Pre-Filled Template
--- name: search-first description: "Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a utility that may already exist." metadata: origin: ECC --- # /search-first — Research Before You Code Systematizes the "search for existing solutions before implementing" workflow. ## Trigger Use this skill when: - Starting a new feature that likely has existing solutions - Adding a dependency or integration - The user asks "add X functionality" and you're about to write code - Before creating a new utility, helper, or abstraction ## Workflow ``` ┌─────────────────────────────────────────────┐ │ 0. TOOL AVAILABILITY PREFLIGHT │ │ Check search channels before relying on │ │ them; report skipped channels honestly │ ├─────────────────────────────────────────────┤ │ 1. NEED ANALYSIS │ │ Define what functionality is needed │ │ Identify language/framework constraints │ ├─────────────────────────────────────────────┤ │ 2. PARALLEL SEARCH (researcher agent) │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ npm / │ │ MCP / │ │ GitHub / │ │ │ │ PyPI │ │ Skills │ │ Web │ │ │ └──────────┘ └──────────┘ └──────────┘ │ ├─────────────────────────────────────────────┤ │ 3. EVALUATE │ │ Score candidates (functionality, maint, │ │ community, docs, license, deps) │ ├─────────────────────────────────────────────┤ │ 4. DECIDE │ │ ┌─────────┐ ┌──────────┐ ┌─────────┐ │ │ │ Adopt │ │ Extend │ │ Build │ │ │ │ as-is │ │ /Wrap │ │ Custom │ │ │ └─────────┘ └──────────┘ └─────────┘ │ ├─────────────────────────────────────────────┤ │ 5. IMPLEMENT │ │ Install package / Configure MCP / │ │ Write minimal custom code │ └─────────────────────────────────────────────┘ ``` ## Decision Matrix | Signal | Action | |--------|--------| | Exact match, well-maintained, MIT/Apache | **Adopt** — install and use directly | | Partial match, good foundation | **Extend** — install + write thin wrapper | | Multiple weak matches | **Compose** — combine 2-3 small packages | | Nothing suitable found | **Build** — write custom, but informed by research | ## How to Use ### Step 0: Tool Availability Preflight This is agent guidance, not an executable setup script. Check only the channels that are relevant to the task and project in front of you. | Channel | Check | If missing | |---------|-------|------------| | Repository search | `rg --files` and targeted `rg` queries | State that only visible files were inspected | | Package registry | `npm --version`, `python -m pip --version`, or project package manager | Use web/docs search and avoid claiming registry coverage | | GitHub CLI | `gh auth status` | Use public web or local git history only | | MCP/docs tools | Available tool list or local MCP config | Fall back to official docs/web search | | Skills directory | `ls ~/.claude/skills ~/.codex/skills` where applicable | Say no local skill catalog was available | ### Quick Mode (inline) Before writing a utility or adding functionality, mentally run through: 0. Does this already exist in the repo? → `rg` through relevant modules/tests first 1. Is this a common problem? → Search npm/PyPI 2. Is there an MCP for this? → Check `~/.claude/settings.json` and search 3. Is there a skill for this? → Check `~/.claude/skills/` 4. Is there a GitHub implementation/template? → Run GitHub code search for maintained OSS before writing net-new code ### Full Mode (agent) For non-trivial functionality, launch the researcher agent: ``` Agent(subagent_type="general-purpose", prompt=" Research existing tools for: [DESCRIPTION] Language/framework: [LANG] Constraints: [ANY] Search: npm/PyPI, MCP servers, Claude Code skills, GitHub Return: Structured comparison with recommendation ") ``` Older Claude Code docs may call this `Task(...)`; use the current agent/subagent tool name exposed by the active harness. ## Search Shortcuts by Category ### Development Tooling - Linting → `eslint`, `ruff`, `textlint`, `markdownlint` - Formatting → `prettier`, `black`, `gofmt` - Testing → `jest`, `pytest`, `go test` - Pre-commit → `husky`, `lint-staged`, `pre-commit` ### AI/LLM Integration - Claude SDK → Context7 for latest docs - Prompt management → Check MCP servers - Document processing → `unstructured`, `pdfplumber`, `mammoth` ### Data & APIs - HTTP clients → `httpx` (Python), `ky`/`undici` (Node) - Validation → `zod` (TS), `pydantic` (Python) - Database → Check for MCP servers first ### Content & Publishing - Markdown processing → `remark`, `unified`, `markdown-it` - Image optimization → `sharp`, `imagemin` ## Integration Points ### With planner agent The planner should invoke researcher before Phase 1 (Architecture Review): - Researcher identifies available tools - Planner incorporates them into the implementation plan - Avoids "reinventing the wheel" in the plan ### With architect agent The architect should consult researcher for: - Technology stack decisions - Integration pattern discovery - Existing reference architectures ### With iterative-retrieval skill Combine for progressive discovery: - Cycle 1: Broad search (npm, PyPI, MCP) - Cycle 2: Evaluate top candidates in detail - Cycle 3: Test compatibility with project constraints ## Examples ### Example 1: "Add dead link checking" ``` Need: Check markdown files for broken links Search: npm "markdown dead link checker" Found: textlint-rule-no-dead-link (score: 9/10) Action: ADOPT — npm install textlint-rule-no-dead-link Result: Zero custom code, battle-tested solution ``` ### Example 2: "Add HTTP client wrapper" ``` Need: Resilient HTTP client with retries and timeout handling Search: npm "http client retry", PyPI "httpx retry" Found: got (Node) with retry plugin, httpx (Python) with built-in retry Action: ADOPT — use got/httpx directly with retry config Result: Zero custom code, production-proven libraries ``` ### Example 3: "Add config file linter" ``` Need: Validate project config files against a schema Search: npm "config linter schema", "json schema validator cli" Found: ajv-cli (score: 8/10) Action: ADOPT + EXTEND — install ajv-cli, write project-specific schema Result: 1 package + 1 schema file, no custom validation logic ``` ## Anti-Patterns - **Jumping to code**: Writing a utility without checking if one exists - **Ignoring MCP**: Not checking if an MCP server already provides the capability - **Silent skipping**: Reporting "nothing found" when a search channel was unavailable - **Over-customizing**: Wrapping a library so heavily it loses its benefits - **Dependency bloat**: Installing a massive package for one small feature
How to use this skill
- Review the pre-filled example and source files above.
- Copy the template or download
SKILL.md, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Agent Skill to Search First?
Open the skill on Promptally, review the pre-filled example, then copy the template or download SKILL.md and paste it into your model, IDE or workflow tool. Agent Skill to Search First is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Agent Skill to Search First free?
Yes. Agent Skill to Search First is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Agent Skill to Search First need?
Agent Skill to Search First is a static blueprint with no dynamic variables. Copy it and use it as-is.