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Project context bootstrap

Skill markoblogo/abvx-agent-skills/skills/project-context-bootstrap

Reviewable capability layer for coding agents. Portable skills, delivery gates, workflow patterns, and verification-first engineering.

Install
npx -y skills add markoblogo/abvx-agent-skills --skill project-context-bootstrap

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  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Bootstrap usable project context before deep implementation work. Use when entering a new or unfamiliar repo, installing agent workflows into an existing codebase, auditing stale docs, or preparing a project for repeatable long-running agent work. Detect the stack, ask the user about the project, summarize understanding, propose compact context artifacts, and update only with approval.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.8 KB, 502 tokens by cl100k_base, as published. Nobody here has run it

Project Context Bootstrap

Create a compact, durable working model of a repo before the agent starts inventing one from guesswork.

Goal

Turn a repo with weak or missing agent-facing context into a repo with:

  • a clear stack and structure summary;
  • known commands and verification paths;
  • durable context files or notes with real content;
  • explicit approval before reorganizing existing docs.

Workflow

  1. Detect
    • inspect project manifests, lockfiles, workspace layout, test commands, and major directories;
    • detect whether context already exists: AGENTS.md, docs/ai/, runbooks, plans, or other agent-facing docs.
  2. Study existing context first
    • if the repo already has useful docs, read them before proposing replacements;
    • separate what looks good, stale, missing, or conflicting.
  3. Ask
    • have a real project-discovery conversation with the user;
    • cover what the product is, who uses it, main features, risky areas, workflow conventions, and external dependencies;
    • follow up until the project is actually understandable.
  4. Summarize
    • restate your understanding in concise project language;
    • confirm accuracy before writing or reorganizing context.
  5. Propose
    • suggest the smallest useful context structure:
      • top-level AGENTS.md or compact startup doc;
      • docs/ai/architecture.md;
      • docs/ai/how-to-test.md;
      • task-specific notes only if needed;
    • ask before reorganizing or overwriting anything durable.
  6. Populate
    • write real content from code and user input, not placeholders;
    • include concrete commands, file paths, key modules, and current conventions.
  7. Validate
    • verify the new context is small, accurate, and actually useful for the next session.

Existing Repo Rules

  • Preserve good context; do not replace it with generic scans.
  • Show what you want to keep, improve, and add before changing layout.
  • Never silently move or delete user-written docs.

Compression Rules

  • Keep startup context compact.
  • Put deeper material behind explicit paths.
  • Prefer one good entrypoint per topic instead of many tiny fragmented notes.

Final Report

Include what was detected, what was confirmed by the user, what context was added or updated, and what should be read first in the next session.

What ships with it: 2 files

1.7 KB alongside SKILL.md

agents/

Gives 0 of the 12 instructions most project setup skills give in 502 tokens

Counted across 999 of the 1,637 authors here whose files we hold, read 2026-08-07

  • Ask one question at a timein 29 of 999, across 28 files
  • Detect the package manager from lockfilesin 28 of 999, across 9 files
  • Present findings to the userin 26 of 999, across 5 files
  • Explore current repo statein 24 of 999, across 3 files
  • Update the agent skills block in place if it existsin 24 of 999, across 3 files
  • Install husky lint-staged and prettierin 23 of 999, across 4 files
  • Create the lintstagedrc filein 22 of 999, across 3 files
  • Commit all changed filesin 22 of 999, across 3 files
  • Run lint-staged to verify it worksin 22 of 999, across 3 files
  • Create the husky pre-commit filein 21 of 999, across 2 files
  • Create a prettierrc file if missingin 21 of 999, across 2 files
  • Initialize huskyin 21 of 999, across 2 files

Said here and by no other author read

  • inspect manifests, lockfiles, layout, and tests
  • separate good, stale, missing, or conflicting docs
  • ask the user about the product and workflows
  • restate your understanding in concise project language
  • ask before reorganizing durable files
  • write real content, not placeholders

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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