Agent skill

Bootstrap LLM Synthesis

by digipulse-engineering in digipulse-engineering/GAAI-framework

Construct the LLM synthesis prompt from project surface scan + optional tree-sitter context + optional Q&A answers.

Custom licenceAuto-check passed

Install Bootstrap LLM Synthesis

skills CLI
$ npx skills add digipulse-engineering/GAAI-framework --skill bootstrap-llm-synthesis -a claude-code

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

GitHub CLI
$ gh skill install digipulse-engineering/GAAI-framework bootstrap-llm-synthesis --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/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.gaai/core/skills/cross/bootstrap-llm-synthesis .claude/skills/bootstrap-llm-synthesis && 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
bootstrap-llm-synthesis
GitHub stars
163
Token cost
~2.9k tokens
SKILL.md length
462 words
Files
1
Skills in repo
51
Repo updated
First seen
Licence
Custom licence

At a glance

Construct the LLM synthesis prompt from project surface scan + optional tree-sitter context + optional Q&A answers.

  • Works in 6 steps: Assemble synthesis context → Build synthesis prompt → LLM call with retry → …
  • SKILL.md covers Purpose / When to Activate, Clarity Tag Semantics, Process and Output Schema (synthesis_result), plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Bootstrap LLM Synthesis is an agent skill from digipulse-engineering/GAAI-framework. Construct the LLM synthesis prompt from project surface scan + optional tree-sitter context + optional Q&A answers. Call the LLM. Parse and validate the response into 6-8 structured memory entries with clarity tags and source traceability. Used as Stage 3 of the /gaai:bootstrap pipeline.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Works with any OpenAI-compatible LLM API from an AI coding agent context

The repository describes itself as: Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until…

Example prompts

  • “/bootstrap-llm-synthesis”

Requirements

  • Compatibility (from SKILL.md): Works with any OpenAI-compatible LLM API from an AI coding agent context

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Assemble synthesis context
  2. Build synthesis prompt
  3. LLM call with retry
  4. Parse LLM response
  5. Apply bounds
  6. Observability summary

What it can do on your machine

Read from SKILL.md and the folder at commit a26ea7a. 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 (its code samples are yaml).

    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.

  • Compatibility

    Works with any OpenAI-compatible LLM API from an AI coding agent context

    From compatibility in the SKILL.md frontmatter.

Context cost

Bootstrap LLM Synthesis loads about 2.9k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 462 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 462 words (~2,858 tokens).

name
bootstrap-llm-synthesis
compatibility
Works with any OpenAI-compatible LLM API from an AI coding agent context
license
ELv2
metadata.author
gaai-framework
metadata.version
1.0
metadata.category
cross
metadata.track
cross-cutting
metadata.id
SKILL-BOOTSTRAP-LLM-SYNTHESIS-001
metadata.updated_at
2026-04-29
metadata.status
stable
inputs
surface_scan_result, tree_sitter_context, qa_answers, anthropic_api_key
outputs
synthesis_result

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .gaai/core/skills/cross/bootstrap-llm-synthesis of digipulse-engineering/GAAI-framework.

Open the folder on GitHubat commit a26ea7a

Compare with similar skills

Bootstrap LLM Synthesis 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.

Bootstrap LLM Synthesis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bootstrap LLM Synthesis this skilldigipulse-engineering/GAAI-framework163—~2.9kAutomated safety check: PassCustom licence
Scanwshobson/agents40k—~2.2kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC275k1 repos~1.8kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC275k—~1.5kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC275k—~1.3kAutomated safety check: PassMIT
Vulnerability Scanningsickn33/agentic-awesome-skills47k1 repos~2.8kAutomated safety check: PassMIT

Similar skills

  • Scan

    wshobson/agents

    Scans the codebase to generate project-doc.md and AGENTS.md.

    40k GitHub stars~2.2k tokensUpdated 3 days ago
    Agent WorkflowsAuto-check passed
  • Repo Scan

    affaan-m/ECC

    Bootstrap pointer that installs the external repo-scan skill from a pinned, reviewable commit.

    275k GitHub starsUsed in 1 repo~1.8k tokens
    DevelopmentAuto-check passed
  • Repo Scan

    affaan-m/ECC

    固定されレビュー可能なコミットから外部の repo-scan スキルをインストールするブートストラップ用ポインター。クロススタックのソースコード資産監査を実行する前に repo-scan のインストールが必要な場合に使用する。この ECC ポインター自体は監査を実行しない。

    275k GitHub stars~1.5k tokensUpdated 3 days ago
    Auto-check passed
  • Repo Scan

    affaan-m/ECC

    用于从固定且可审查的提交安装外部 repo-scan 技能的引导指针。在运行跨栈源代码资产审计前需要安装 repo-scan 时使用;此 ECC 指针本身不执行审计。

    275k GitHub stars~1.3k tokensUpdated 3 days ago
    Auto-check passed
  • Vulnerability Scanning

    sickn33/agentic-awesome-skills

    Scan systems and dependencies for CVEs and security vulnerabilities.

    47k GitHub starsUsed in 1 repo~2.8k tokens
    SecurityAuto-check passed
  • Harness MCP Scan

    ruvnet/ruflo

    Static security scan of a harness's declared MCP surface via harness mcp-scan <path.

    74k GitHub stars~429 tokensUpdated today
    Agent WorkflowsAuto-check: notes

More from digipulse-engineering/GAAI-framework

All 51 skills in this repo
  • Eval Run

    digipulse-engineering/GAAI-framework

    Evaluate any output file against a structured evals.yaml assertions file and produce a score report with per-assertion pass/fail results.

    163 GitHub stars~1.7k tokensUpdated 8 days ago
    Auto-check passed
  • Pattern Transfer

    digipulse-engineering/GAAI-framework

    Discover structurally similar patterns across domains, assess transfer viability via structural invariant checking, and propose domain adaptations with risk gates.

    163 GitHub stars~2.3k tokensUpdated 8 days ago
    Auto-check passed
  • Skill Optimize

    digipulse-engineering/GAAI-framework

    Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements.

    163 GitHub stars~2k tokensUpdated 8 days ago
    Auto-check passed
  • Abort Safe Handler

    digipulse-engineering/GAAI-framework

    Orchestrator-level Stage 4 entry gate for /gaai:bootstrap. An agent skill from digipulse-engineering/GAAI-framework.

    163 GitHub stars~2.6k tokensUpdated 8 days ago
    Auto-check passed
  • Create Skill

    digipulse-engineering/GAAI-framework

    Guide creation of a new GAAI skill following the agentskills.io spec and GAAI best practices.

    163 GitHub stars~1.7k tokensUpdated 8 days ago
    Auto-check passed
  • Discovery High Level Plan

    digipulse-engineering/GAAI-framework

    Transform vague or high-level human intent into a governed Discovery action plan.

    163 GitHub stars~570 tokensUpdated 8 days ago
    Auto-check passed

Questions about Bootstrap LLM Synthesis

What does Bootstrap LLM Synthesis do?

Construct the LLM synthesis prompt from project surface scan + optional tree-sitter context + optional Q&A answers. Bootstrap LLM Synthesis is an agent skill from digipulse-engineering/GAAI-framework. Construct the LLM synthesis prompt from project surface scan + optional tree-sitter context + optional Q&A answers.

How do I install Bootstrap LLM Synthesis in Claude Code?

Run `npx skills add digipulse-engineering/GAAI-framework --skill bootstrap-llm-synthesis -a claude-code`. Or copy the skill folder (.gaai/core/skills/cross/bootstrap-llm-synthesis in digipulse-engineering/GAAI-framework) into .claude/skills/bootstrap-llm-synthesis in your project. Claude Code loads it when a task matches its description.

How do I install Bootstrap LLM Synthesis in Codex?

Run `npx skills add digipulse-engineering/GAAI-framework --skill bootstrap-llm-synthesis -a codex`. Or copy the skill folder (.gaai/core/skills/cross/bootstrap-llm-synthesis in digipulse-engineering/GAAI-framework) into .agents/skills/bootstrap-llm-synthesis in your project. Codex loads it when a task matches its description.

Can I use Bootstrap LLM Synthesis 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 digipulse-engineering/GAAI-framework --skill bootstrap-llm-synthesis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bootstrap-llm-synthesis, .gemini/skills/bootstrap-llm-synthesis, .github/skills/bootstrap-llm-synthesis and .opencode/skills/bootstrap-llm-synthesis in your project.

What does Bootstrap LLM Synthesis need to run?

SKILL.md names no scripts, command-line tools or credentials: Bootstrap LLM Synthesis is instructions for the agent only. Compatibility (from SKILL.md): Works with any OpenAI-compatible LLM API from an AI coding agent context.

Does Bootstrap LLM Synthesis 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 Bootstrap LLM Synthesis 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 Bootstrap LLM Synthesis use?

Bootstrap LLM Synthesis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Bootstrap LLM Synthesis use?

About 2.9k tokens (SKILL.md is roughly 11k 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 Bootstrap LLM Synthesis?

Skills that share tags, products or a category with Bootstrap LLM Synthesis: Scan (wshobson/agents, 40k stars), Repo Scan (affaan-m/ECC, 275k stars), Repo Scan (affaan-m/ECC, 275k stars) and Repo Scan (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bootstrap LLM Synthesis?

digipulse-engineering (a GitHub organization) maintains it in digipulse-engineering/GAAI-framework, which has 163 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on September 29, 2026.

Source: digipulse-engineering/GAAI-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.