Agent skill

Search Skills

by danielvm-git in danielvm-git/bigpowers

Find the right bigpowers skill from natural-language intent using a local lexical index over SKILL.md frontmatter.

MITAuto-check passedAI & LLM Engineering

Install Search Skills

skills CLI
$ npx skills add danielvm-git/bigpowers --skill search-skills -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install danielvm-git/bigpowers search-skills --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/danielvm-git/bigpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/search-skills .claude/skills/search-skills && rm -rf skills-src

Use ~/.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/

Facts

Skill name
search-skills
GitHub stars
257
Token cost
~820 tokens
SKILL.md length
373 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Find the right bigpowers skill from natural-language intent using a local lexical index over SKILL.md frontmatter.

  • Works in 5 steps: Refresh index if stale — Run bash… → Search the index — Use ripgrep on the… → Rank results — Read the top 3 matches.… → …
  • Unsure which skill to invoke
  • SKILL.md covers When to use, Pre-flight, Process and Index Format, plus 2 more sections
  • Calls bash and rg

What it does

Search Skills is an agent skill from danielvm-git/bigpowers. Find the right bigpowers skill from natural-language intent using a local lexical index over SKILL.md frontmatter. Use when unsure which skill to invoke, or at start of research-first.

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. The repository describes itself as: Agent skills synthesizing years of software engineering discipline into a prescriptive methodology for solo developers. The licence is MIT.

When your agent uses it

  • Unsure which skill to invoke
  • At start of research-first

Example prompts

  • “/search-skills”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Refresh index if stale — Run bash scripts/build-skill-index.sh if specs/SKILL-SEARCH-INDEX_LATEST.md doesn't exist or was modified before…
  2. Search the index — Use ripgrep on the lexical index
  3. Rank results — Read the top 3 matches. Evaluate by
  4. Recommend one skill — Select the single best-matching skill. Provide
  5. Invoke — Call the skill directly or through the orchestrator. If no match found, suggest the closest phase-appropriate skill or…

What it can do on your machine

Read from SKILL.md and the folder at commit 812d57a. 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

    Shell commands in SKILL.md call:

    • bash
    • rg

    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

Search Skills loads about 820 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 373 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~820

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 danielvm-git/bigpowers at commit 812d57a, republished under its MIT licence (© danielvm-git). 373 words, ~820 tokens.

Download SKILL.mdSave it as .claude/skills/search-skills/SKILL.md (or your agent's skills folder).
name
search-skills
description
Find the right bigpowers skill from natural-language intent using a local lexical index over SKILL.md frontmatter. Use when unsure which skill to invoke, or at start of research-first.
model
haiku
effort
standard

story: e09s01

story: e21s01

Search Skills

HARD GATE — Search results must be ranked by relevance. Do NOT return all matches without prioritization. Use skill metadata (phase, purpose, frequency) to rank.

HARD GATE — Do NOT use external embedding APIs or AI-based semantic search. This is a lexical-only index (ADR: zero external dependency).

Lexical search only — no embedding service (ADR: zero external dependency). The index is a flat markdown file (specs/SKILL-SEARCH-INDEX_LATEST.md) built from every SKILL.md's YAML frontmatter — name, description, and key phrases. No vector DB, no API calls, no network dependency.

When to use

  • You're unsure which skill to invoke for a user's request
  • At the start of research-first to find pre-existing skills that might solve the problem
  • When a user asks "is there a skill for X?"
  • Before calling a skill by name, to confirm it's the right one

Pre-flight

  • Does specs/SKILL-SEARCH-INDEX_LATEST.md exist? If not, run bash scripts/build-skill-index.sh.
  • Is the index fresh? Check its timestamp — if > 24 hours old or after any SKILL.md change, regenerate.

Process

  1. Refresh index if stale — Run bash scripts/build-skill-index.sh if specs/SKILL-SEARCH-INDEX_LATEST.md doesn't exist or was modified before the last SKILL.md change.

  2. Search the index — Use ripgrep on the lexical index:

    rg -i "<keywords>" specs/SKILL-SEARCH-INDEX_LATEST.md

    The index contains each skill's name, description, phase, and key use-case phrases, so natural language queries work well even without embeddings.

  3. Rank results — Read the top 3 matches. Evaluate by:

    • Exactness — Does the description literally match the user's intent?
    • Phase fit — Is the skill designed for the current lifecycle phase?
    • Trigger phrases — Does the skill's "Use when" section match the situation?
  4. Recommend one skill — Select the single best-matching skill. Provide:

    • The skill name
    • Why it's the best match (citing the description or trigger phrase)
    • What it produces (artifact, dialogue, or state change)
  5. Invoke — Call the skill directly or through the orchestrator. If no match found, suggest the closest phase-appropriate skill or using-bigpowers as a general entry point.

Show full SKILL.md (58 more words)Show less

Index Format

specs/SKILL-SEARCH-INDEX_LATEST.md contains one section per skill:

markdown
## <skill-name>
- **Description:** <from frontmatter>
- **Phase:** <lifecycle phase>
- **Triggers:** <key phrases from description>
- **Keywords:** <extracted terms>
  • Zero network dependency — works fully offline
  • Zero cost — no API keys, no usage limits
  • Instant — ripgrep on a local file is sub-second
  • Deterministic — same query always returns same results
  • Auditable — you can read the full index

Verify

→ verify: test -f specs/SKILL-SEARCH-INDEX_LATEST.md || (bash scripts/build-skill-index.sh && test -f specs/SKILL-SEARCH-INDEX_LATEST.md)

© danielvm-git, 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/search-skills of danielvm-git/bigpowers.

Open the folder on GitHubat commit 812d57a

Compare with similar skills

Search Skills 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.

Search Skills compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Search Skills this skilldanielvm-git/bigpowers257—~820Automated safety check: PassMIT
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.8k15 repos~656Automated safety check: PassApache-2.0

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Questions about Search Skills

What does Search Skills do?

Find the right bigpowers skill from natural-language intent using a local lexical index over SKILL.md frontmatter. Search Skills is an agent skill from danielvm-git/bigpowers.md frontmatter.

When should I use Search Skills?

Search Skills fits situations like: unsure which skill to invoke; at start of research-first.

How do I install Search Skills in Claude Code?

Run `npx skills add danielvm-git/bigpowers --skill search-skills -a claude-code`. Or copy the skill folder (skills/search-skills in danielvm-git/bigpowers) into .claude/skills/search-skills in your project. Claude Code loads it when a task matches its description.

How do I install Search Skills in Codex?

Run `npx skills add danielvm-git/bigpowers --skill search-skills -a codex`. Or copy the skill folder (skills/search-skills in danielvm-git/bigpowers) into .agents/skills/search-skills in your project. Codex loads it when a task matches its description.

Can I use Search Skills 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 danielvm-git/bigpowers --skill search-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/search-skills, .gemini/skills/search-skills, .github/skills/search-skills and .opencode/skills/search-skills in your project.

What does Search Skills need to run?

Going by SKILL.md and its folder, Search Skills needs the command-line tools its instructions call (bash and rg).

Does Search Skills 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 Search Skills 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 Search Skills use?

Search Skills 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 Search Skills use?

About 820 tokens (SKILL.md is roughly 3.3k 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 Search Skills?

Skills that share tags, products or a category with Search Skills: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Search Skills?

danielvm-git (a GitHub user) maintains it in danielvm-git/bigpowers, which has 257 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on September 21, 2026.

Source: danielvm-git/bigpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.