Best for
- The user says "create a skill", "build a skill", "make a skill", or "new
- The user asks "is there a skill for X?" or "does a skill exist that does Y?"
- The user describes a workflow and you are about to suggest creating a new
affaan-m/ECC/skills/skill-scout/SKILL.md
Search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow.
Decision brief
Use this skill before creating a new skill. The goal is to avoid duplicating existing community or marketplace work, while still vetting anything external before adoption.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/affaan-m/ECC --skill "skills/skill-scout"Inspect the Agent Skill "skill-scout" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/skills/skill-scout/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
The task the skill should perform.
Search installed and marketplace skill names first. Local sources are preferred because they are already part of the user's environment.
Use available GitHub and web search tools. Prefer concise queries:
Before recommending any external skill for adoption or forking:
1. Exact keyword match in the skill name. 2. Keyword or synonym match in description. 3. Local installed or marketplace source. 4. Maintained GitHub source with recent activity. 5. Web-only mention.
Permission review
The documentation includes network, browsing, or remote request actions.
### Step 3 - Search Remote SourcesEvidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 86/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 234,327 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Use this skill before creating a new skill. The goal is to avoid duplicating existing community or marketplace work, while still vetting anything external before adoption.
Source: salvaged from stale community PR #1232 by redminwang.
If the user explicitly says to skip search or create from scratch, acknowledge that and proceed with the requested creation workflow.
Extract:
Search installed and marketplace skill names first. Local sources are preferred because they are already part of the user's environment.
find ~/.claude/skills -maxdepth 2 -name SKILL.md 2>/dev/null | grep -iE "keyword|synonym"
find ~/.claude/plugins/marketplaces -path '*/skills/*/SKILL.md' 2>/dev/null | grep -iE "keyword|synonym"
Then search frontmatter descriptions:
grep -RilE "keyword|synonym" ~/.claude/skills ~/.claude/plugins/marketplaces 2>/dev/null
Use available GitHub and web search tools. Prefer concise queries:
gh search repos "claude code skill keyword" --limit 10 --sort stars
gh search code "name: keyword" --filename SKILL.md --limit 10
For web search, use at most three targeted queries such as:
"claude code skill" keyword
"SKILL.md" keyword
"everything-claude-code" keyword
Before recommending any external skill for adoption or forking:
SKILL.md frontmatter and instructions.Rank candidates by:
Cap the final list at 10 results.
Give the user a short table:
| Option | Meaning |
|---|---|
| Use existing | Invoke or install a matching skill as-is. |
| Fork or extend | Copy the closest skill and modify it. |
| Create fresh | Build a new skill after confirming no close match exists. |
Only create a new skill after the user chooses that path or after the search finds no close match.
| # | Skill | Source | Why it matches | Gap |
| --- | --- | --- | --- | --- |
| 1 | article-writing | Local ECC | Drafts articles and guides | Not focused on release notes |
| 2 | content-engine | Local ECC | Multi-format content workflow | Heavier than needed |
| 3 | blog-writer | GitHub | Blog writing skill with recent commits | Needs security review |
I found two close local matches and one external candidate. The closest fit is
`article-writing`; it covers drafting and revision, but it does not include the
release-note checklist you asked for. I can either use it as-is, fork it into a
release-note variant, or create a fresh skill.
search-first - General search-before-building workflow.skill-stocktake - Audit installed skills for health, duplicates, and gaps.agent-sort - Categorize and organize existing agents and skills.Alternatives
affaan-m/ECC
Review skill-scout's use cases, installation, workflow, and original source instructions.
event4u-app/agent-config
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
K-Dense-AI/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/scientific-agent-skills
Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.