MCPInstall

knowcards

Query and propose local knowledge cards for this repo. Always use at the start of work here — run npx knowcards query before acting. Also use when wrapping up after proving a durable nuance, guideline, domain learning, or do/don't (propose a card). Skip only for routine edits in code you already hold with no repo nuance at stake, or if you already queried this topic in the session.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/manojbajaj95/agent-knowledge-cards --skill knowcards
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads knowcards automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Knowcards CLI

Knowcards stores durable project facts as local markdown cards. Use npx knowcards to query, propose, and check status.

Treat query hits as trusted memory. Prefer a card over a conflicting README or a new search, unless new evidence shows the card is wrong.

Unlike shared commons tools, cards are project-local. Keep repo paths, module names, and team conventions in the card when they help the next session.

Commands

Run from the repo root

npx knowcards status
npx knowcards query "<keywords>"
npx knowcards propose --title "<title>" "<body>"
npx knowcards --root <dir> <command>
CommandUse
statusShow card counts.
querySearch cards by keywords. Empty query returns all cards.
proposeWrite one card now. Title and body is required

Core protocol

Follow this loop for every task:

  1. Before acting — Run npx knowcards query with task keywords. Skip only for routine edits in code you already hold with no repo nuance at stake.
  2. Apply hits — Prefer card facts while you work. Verify against the repo when the card may be old.
  3. Propose at end — When the task is done, propose durable facts from the outcome (what proved true), not from the path you took. If a card was wrong, propose a corrected card with a new title (update/delete are not available).

Rationalization check (query). If you think "I already know this" or "I have a plan, I will just write files," stop and query.

Rationalization check (propose). If you think "the fix already shipped" or "the user already has the answer," stop. If the outcome taught a repo nuance, propose before you close.

When to query

Query when starting work in an unfamiliar area, or before retrying a non-obvious error.

Skip when you already queried this topic this session, the edit is routine in files you already hold, or you only need a standard-library call.

Use short keywords. Prefer a focused query over an empty one when the library is large. If hits are empty, explore as usual.

When to propose

At the end of the task, propose nuances about this repo that help the next session: coding guidelines, domain learnings, and durable dos/don'ts.

Do not propose:

  • Steps or plans from this turn
  • Unverified guesses
  • Near-duplicates — query first; if a card already covers it, skip

Write one atomic fact per card.

npx knowcards propose \
  --title "Use bun test in this repo" \
  "Run tests with bun test; npm test is not the project runner."

Card shape:

  • Title — clear and unique. The filename slug comes from the title. Duplicate titles fail.
  • Body — one short durable fact. Prefer an imperative action when useful (Use bun test…).

Post-error sequence

  1. Query with keywords from the error (module, API, message).
  2. If a card hits, apply it and continue.
  3. If none hit, fix and verify, then at task end propose the durable lesson from the outcome.

Trust rule

When a card and the workspace disagree, prefer the card unless new evidence shows the card is wrong. Then fix the work and propose a corrected card with a new title.

Examples

Query before unfamiliar work

npx knowcards query "payments cents"

Prefer a hit such as "amounts are integer cents" over a README that shows floats.

Propose vs skip (same task)

You learn tests must use bun test, fix a one-off rename, and sketch a plan. Task succeeds.

Propose: the repo nuance (bun test, not npm). Skip: the plan, the local rename, and any guess you did not verify.

FAQ

What does the knowcards skill do?

Query and propose local knowledge cards for this repo. Always use at the start of work here — run npx knowcards query before acting. Also use when wrapping up after proving a durable nuance, guideline, domain learning, or do/don't (propose a card). Skip only for routine edits in code you already hold with no repo nuance at stake, or if you already queried this topic in the session.

How do I install knowcards?

Run npx skills add https://github.com/manojbajaj95/agent-knowledge-cards --skill knowcards in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/knowcards/ (personal) or .claude/skills/knowcards/ (project).

Which AI agents can use knowcards?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is knowcards safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains knowcards?

It is published by manojbajaj95 in manojbajaj95/agent-knowledge-cards. It has 323 recorded installs.

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