mcpbeat

Dig

apify/dig

>- Explore, analyze, plan, or spec features for the Apify MCP server. Adapts to what the user asks — from quick code exploration to full GitHub issue specs. Use when the user asks to explore code, understand behavior, plan a change, design a feature, or create an issue spec.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
2501
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/apify/apify-mcp-server --skill dig

What it tells the agent to use

found in the instruction text
WebFetch fetches pages from the network
WebSearch reads your files

The instruction itself

9 sections, as written by the author

Dig

Flexible skill for exploring, planning, and speccing work on the Apify MCP server. Do NOT edit source files — this skill is for understanding and planning only.

Step 0: Parse arguments and determine intent

$ARGUMENTS contains the user's request and optional repo path overrides.

Flags (optional):

| Flag | Default | Purpose |

|----------------|----------------------------------|--------------------------------|

| --sdk | ../typescript-sdk | MCP SDK source repo path |

| --ext-apps | ../ext-apps | MCP Apps SDK source repo path |

| --internal | ../apify-mcp-server-internal | Internal server repo path |

Everything not matching a flag is the user's request.

Resolution order for source repos: flag path → default sibling path → node_modules/ (compiled types only) → GitHub URL (last resort). Always verify the path exists before using it.

Determine the intent

Infer the intent from the user's natural language. There are three modes:

| Intent | What you do | Examples |

|--------|-------------|---------|

| Explore | Read code, explain findings, answer questions | "how does tool naming work", "look at the widget code", "why is this broken", "what would break if we change X" |

| Plan | Enter plan mode, design the approach, assess impact | "plan implementing resource links", "figure out how to refactor metadata", "design the simplification" |

| Spec | Plan + create GitHub issues | "write an issue for X", "create a spec for Y", "spec out resource links" |

Rules:

  • Default to Explore. When in doubt, do less — the user can always ask for more.
  • Only enter plan mode for Plan and Spec.
  • Only create GitHub issues for Spec.

Step 1: Explore

Read the relevant source files and explain your findings. This is the baseline for all intents.

What to do:

  • Read the relevant source files in this repo
  • Check similar existing features as reference
  • Only check the internal repo, MCP SDK/spec, or MCP Apps SDK/spec if the user's question touches those areas
  • If you spot a related open issue, mention it casually — but don't go searching for issues unless it's relevant

Stop here if the intent is Explore.

Step 2: Plan (Plan and Spec only)

Use the EnterPlanMode tool, then design the approach — and commit to one. If the request is

genuinely ambiguous (e.g. it maps to two different existing knobs), surface the fork up front and

ask; otherwise pick the most defensible design and commit rather than listing options.

Investigate first:

  • Assess internal repo impact (check ../apify-mcp-server-internal if available)
  • Check MCP spec/SDK if the feature involves protocol behavior
  • Check MCP Apps spec/SDK if it involves widgets or interactive UIs
  • Use mcpc @stdio tools-call to probe current behavior if useful (requires pnpm run build)
  • Read the repo's convention docs — follow them, don't reinvent

Conventions live in the repo, not here. AGENTS.md, CONTRIBUTING.md, and DEVELOPMENT.md

hold the naming, validation, test-layout, and public/internal-separation rules — read them. Design

minimally: reuse and adjust before adding.

Design output — required sections. A plan has to be implementable by someone else, so produce:

  • Approach — the chosen design in a few sentences and the main trade-off you accepted.
  • Files to change — each file to create or modify with a one-line note on what changes (path + change; no line numbers needed).
  • Interfaces — the key function/type signatures you add or change (names, params, returns), so the implementer and reviewers know the contract.
  • Test strategy (the oracle) — which unit/integration tests prove it, where they live, and what each asserts. This is how "done" is judged — never leave it implicit.
  • Risks & impact — edge cases, and apify-mcp-server-internal impact.
  • Data flow — only when non-trivial: entry → transforms → output.

Sections 2–4 must be concrete (real files, signatures, and tests — no "TBD", no "add error

handling"). Sections 1, 5, 6 stay brief. This structure is for Plan; Explore and Spec stay lean.

Stop here if the intent is Plan. Exit plan mode with ExitPlanMode.

Step 3: Spec (Spec only)

Create GitHub issues. First exit plan mode with ExitPlanMode.

Check existing issues

Search for duplicates and related issues:

gh issue list -R apify/apify-mcp-server --search "<keywords>" --json number,title,state
gh issue list -R apify/ai-team --search "<keywords>" --json number,title,state
gh issue list -R apify/apify-mcp-server-internal --search "<keywords>" --json number,title,state

If a matching issue exists, update it with gh issue edit instead of creating a new one.

Create issues

One issue per implementation phase. A phase = one PR-sized unit of work (~50-200 lines changed). Each issue should be independently implementable.

Use the repo's feature_spec.yml template. Only the Problem and Proposed solution fields are required. Include Plan and Alternatives considered only when they add real value. No fluff, no filler — straight to the point.

## Problem
[Concrete evidence: error messages, user reports, issue links. Not "users are confused" — instead "3 users reported X in #channel".]

## Proposed solution
[Short. Reference existing code paths. List files inline if needed.]

## Plan
- [ ] Step 1
- [ ] Step 2

## Alternatives considered
[Only if you actually evaluated other approaches.]

Style (Explore explanations and Spec issues):

  • Plain language, no fluff — see CLAUDE.md § Communication style
  • Skip any section that would be empty or generic
  • 10-30 lines, not 100
  • Concrete steps > prose

(A Plan's design follows its required-sections structure above — keep each section tight, but

don't truncate files / interfaces / test strategy to hit a line count.)

Self-review before presenting:

  • Is this the minimal design? Could scope be smaller?
  • Am I reusing existing patterns or reinventing?
  • Could this adjust existing code rather than add new code?
  • Does it require refactoring first? If so, that's a separate issue.

Present issue content to the user for review before creating. Use gh issue create with t-ai label.

Available resources

| Resource | Path / URL | Use for |

|------------------------|---------------------------------------------------------------------|-------------------------------------------------------------|

| Public repo | . (this repo root) | Main codebase — tools, widgets, tests |

| Internal repo | ../apify-mcp-server-internal (if available) | Hosted server — assess impact of changes |

| MCP SDK (types) | node_modules/@modelcontextprotocol/sdk | Protocol types, server/client APIs (compiled only) |

| MCP SDK (source) | ../typescript-sdk (if available) | Examples, tests, full source — faster than GitHub |

| MCP spec | https://modelcontextprotocol.io/specification/2025-11-25 | Protocol-level features |

| MCP Apps SDK (types) | node_modules/@modelcontextprotocol/ext-apps | MCP Apps types, React hooks, server helpers (compiled only) |

| MCP Apps SDK (source) | ../ext-apps (if available) | Examples, tests, spec, full source — faster than GitHub |

| MCP Apps spec | https://github.com/modelcontextprotocol/ext-apps/blob/main/specification/2026-01-26/apps.mdx | MCP Apps extension specification |

| Dev server (no UI) | http://localhost:3001/ / tools: mcp__apify-dev__* | Test tools without widgets |

| Dev server (UI) | http://localhost:3001/?ui=true / tools: mcp__apify-dev-ui__* | Test tools with widget rendering |

| mcpc stdio | mcpc @stdio tools-call ... (requires pnpm run build) | Test tools — no running server needed |

How to use it

Copy the folder

Take apify/dig from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.