agentleFS
patrickbdevaneypatrickbdevaney/hermes-max/skills/workflow-task-start/SKILL.md

workflow-task-start

Skill1 starsChanged 6 months agoMITView on GitHub

Ground every coding task in the codebase + knowledge graph before acting.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run this at the start of any coding/engineering task.

    line 19
  2. Very specific:

    Retrieve from the codebase: Call search_code (mcp-codebase-rag) with 2-3 phrasings of what the task touches (feature names, error messages, …

    line 24
  3. Very specific:

    Find existing conventions: Use get_symbol_context for any symbol you're about to modify, so your change matches the surrounding code's …

    line 33
  4. Very specific:

    Size the task: If it spans more than ~5 files or is architecturally non-trivial, stop and run the workflow-plan skill before coding.

    line 36
  5. Distinctive:

    If any of these tools reports unavailable (a server is down), note it briefly and proceed with normal exploration (read/grep).

    line 41

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<!-- TRIGGERS WHEN: "Ground every coding task in the codebase + knowledge graph before acting." version: 1.0.0 author: Hermes Max license: MIT platforms: [linux, macos, windows] me -->

Task Start — ground yourself before writing code

Run this at the start of any coding/engineering task. It is the compounding advantage: you begin already knowing the user's stack instead of reading cold.

Steps

  1. Retrieve from the codebase. Call search_code (mcp-codebase-rag) with 2-3 phrasings of what the task touches (feature names, error messages, the modules involved). Read the returned path:line locations and snippets to learn the existing patterns. If results look thin, the repo may be unindexed — call index_repo(path) once, then search again.
  2. Recall prior knowledge. For each key file/service/decision the task touches, call recall_about (mcp-knowledge-graph). Pull in any past decisions, known bugs, and relationships so you don't relitigate solved problems or repeat past mistakes.
  3. Find existing conventions. Use get_symbol_context for any symbol you're about to modify, so your change matches the surrounding code's style and contracts.
  4. Size the task. If it spans more than ~5 files or is architecturally non-trivial, stop and run the workflow-plan skill before coding.

Graceful degradation

If any of these tools reports unavailable (a server is down), note it briefly and proceed with normal exploration (read/grep). Never block or crash on a missing tool — these augment your workflow, they don't gate it.

Why

The win condition is persistence/compounding: retrieval-grounded context plus a queryable memory of past decisions is what a cold-start agent cannot match. Pay the small upfront retrieval cost on every task.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.