skillit-bootstrap
Bootstrap an AI-agent skill from a TypeScript codebase by running the deterministic skillit generate/audit loop and enriching repo source (JSDoc, README…
Skill by pradeepmouli
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/pradeepmouli-skillit-bootstrap
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, writing, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skillit-bootstrap
What's inside
- Skill name
skillit-bootstrap- Description
- Bootstrap an AI-agent skill from a TypeScript codebase by running the deterministic skillit generate/audit loop and enriching repo source (JSDoc, README, config-type properties, MCP tool annotations, examples, package.json) until the skill reaches its grade target. Use for cli, typedoc, config, or mcp (build-mode) projects; never edit SKILL.md/references directly.
- License
- MIT
- Instructions
- 109 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- surface-routing.md · references/
SKILL.md (first lines)
# skillit-bootstrap
Bootstrap a high-quality AI-agent skill from a TypeScript codebase. You run the
deterministic skillit pipeline, read its machine-readable findings, and enrich
the **repo source** (JSDoc, README, examples, package.json) until the generated
skill reaches its grade target. skillit owns the skill output; you own the
inputs.
## The one hard rule
**Never create or edit any `SKILL.md` or `references/*.md` for the target
project.** Those are pure outputs of `skillit gen` — regenerated every pass. You
edit only repo _source surfaces_. If you find yourself about to write a
`SKILL.md`, stop: the fix belongs in the source the skill is generated from.
## When to use
- A `cli` (Commander), `typedoc` (TypeScript library), `config` (a TypeScript
config type), or `mcp` (an MCP server whose TS source you own — "build mode")
project that needs a generated agent skill, or whose skill scores below its
grade target.
- Run after the project is set up with the right `@skillit/*` package (see
step 1).
- **Third-party MCP servers you cannot edit** are out of scope here: with no
editable source, the skill is produced from an overlay ("runtime mode") via
`skillit refine`. This loop targets the build-mode (own-source) path. See
`references/surface-routing.md`.
## Inputs
```
/skillit-bootstrap [--source cli|typedoc|config|mcp] [--program <file#export>]
[--config-type <file#export>] [--mcp <path>] [--server <name>]
[--out <dir>] [--grade A|B|C] [--max-iterations <n>]
[--ground <glob>...]
```
- `--source` — override detection (`cli`, `typedoc`, `config`, or `mcp`).
- `--program` — Commander program entry for the cli source (`./dist/cli.js#program`).
- `--config-type` — config type entry for the config source (`./src/config.ts#MyConfig`).
- `--mcp` — path to `mcp.json` / MCP config file (mcp source).
- `--server` — MCP server entry to select when the config lists several (mcp source).
- `--out` — skill output dir (default `skills`).
- `--grade` — override the kind-aware target (below).
- `--max-iterations` — hard cap on enrich/regenerate passes (default 5).
- `--ground <glob>` — consumer/implementation code you MUST read before writing
any runtime-behavior pitfall, so your claims reflect real behavior, not guesses.
## The loop
1. **Set up once.** Determine the source kind (honor `--source`, else infer:
`commander`/`yargs` dep → cli; `@modelcontextprotocol/sdk` dep → mcp;
otherwise a TS library → typedoc). `config` is never auto-detected — select it
explicitly with `--config-type <file#export>`. Each kind has its own selector:
cli → `--program`, config → `--config-type`, mcp → `--mcp` (+ optional
`--server`); typedoc needs none. If the project has no `@skillit/*` package
installed yet, run `skillit init --source <kind>` once (it installs + wires
only; it does not generate).
2. **Generate.** Run `skillit gen --source <kind> <selector> [--out …]` (the
selector is the kind's from step 1). This deterministically produces the skill
from current source. Never hand-edit its output. (For mcp, `gen` spins up the
server to introspect it, so the source skill is a function of a deterministic
server.)
3. **Audit.** Run `skillit audit --source <kind> <selector> --json` and read
the JSON: `estimate.grade`, `estimate.dimensions` (D1–D8), and
`improvements[]`. Each improvement carries `suggestion`, `dimension`,
`targets: [{file, name, kind}]`, and (when resolvable) `resolvedLocations[]`
pointing at the exact file + declaration to edit. **These targets are your
work queue.**
4. **Enrich the source.** For each addressable finding, open the cited source
file and write the missing content on the named symbol/section/key, choosing
the surface the suggestion names. The surface → audit-code map and the
edit-vs-create guidance are in `references/surface-routing.md`. Before writing
any _runtime-behavior_ pitfall, read the relevant implementation (`--ground`
globs) — do not invent semantics from a type signature.
- Prefer the `upsertJsDocTag` / `upsertPropertyJsDocTag` helpers (exported
from `@skillit/core`) for JSDoc-tag writeback rather than free-hand
splicing — they handle `*/` escaping and multi-line prefixing.
- You may also **create** a new parseable artifact when that is the better
home (a `docs/<guide>.md`, an `examples/<name>.ts`, a missing README
section) — but only of a type an existing parser already consumes, and
never a `SKILL.md`.
5. **Regenerate + re-audit.** Re-run step 2 then step 3. Compare the new
`estimate` to the previous pass.
6. **Decide convergence** (your judgment, using these signals):
- **Pass** — `estimate.grade` ≥ the target. Default target is _kind-aware_:
typedoc/library → **A** (every export is introspectable); cli adapter-model
→ **B**, config → **B**, mcp → **B** — these surfaces structurally cap below
A (a cli command tree isn't enumerated per-symbol; a config type has no
functions/params, so per-option routing + one example file is its ceiling;
mcp reaches **A** only if every tool handler carries full JSDoc). `--grade`
overrides.
- **Plateau** — the score did not rise AND every remaining finding targets a
symbol that genuinely has nothing more to truthfully say. You can _see_ the
source, so distinguish "legitimately complete" from "stuck re-drafting" —
stop on the former.
- **Cap** — never exceed `--max-iterations` (default 5).
7. **Report.** Print the final grade, the D1–D8 breakdown, the list of source
files you enriched, and any remaining findings you judged un-addressable with
a one-line rationale each. This is the human review surface; the user commits
the result.
## After convergence
Tell the user to review the enriched source diffs and the regenerated skill,
then commit. Remind them the skill is reproducible: `skillit gen` on the same
source yields byte-identical output, so the source diff is the real change.From pradeepmouli/skillit, MIT.
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Signals
- Stars
- 7
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Jul 2, 2026 (3 months ago)
- Last release
- Sep 21, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/pradeepmouli/skillit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
skillit-bootstrap. Agent Mart. https://agentmart.dev/skills/pradeepmouli-skillit-bootstrap (last updated 2026-10-24)