workflow-task-start
Skill1 starsChanged 6 months agoMITView on GitHub
Ground every coding task in the codebase + knowledge graph before acting.
In this repository33 other files it gives its agents.
- skill-process-gotchasSkill
- workflow-cache-disciplineSkill
- workflow-codegraphSkill
- workflow-conductorSkill
- workflow-context-condenserSkill
- workflow-context-hygieneSkill
- workflow-criticSkill
- workflow-deadline-disciplineSkill
- workflow-deep-researchSkill
- workflow-done-definitionSkill
- workflow-edit-formatSkill
- workflow-effort-routingSkill
- workflow-escalateSkill
- workflow-execute-from-planSkill
- workflow-filesystem-offloadSkill
- workflow-learn-frameworkSkill
- workflow-long-running-processesSkill
- workflow-lspSkill
- workflow-memory-curationSkill
- workflow-plan-contractSkill
- workflow-plan-firstSkill
- workflow-planSkill
- workflow-quality-barSkill
- workflow-repomapSkill
- workflow-retrieve-before-actSkill
- workflow-spec-drivenSkill
- workflow-stuck-detect-resetSkill
- workflow-stuckSkill
- workflow-subagent-isolationSkill
- workflow-subtask-loopSkill
- workflow-task-finishSkill
- workflow-tool-selectionSkill
- workflow-verify-enhancedSkill
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
- Distinctive: line 19
Run this at the start of any coding/engineering task.
- Very specific: line 24
Retrieve from the codebase: Call search_code (mcp-codebase-rag) with 2-3 phrasings of what the task touches (feature names, error messages, …
- Very specific: line 33
Find existing conventions: Use get_symbol_context for any symbol you're about to modify, so your change matches the surrounding code's …
- Very specific: line 36
Size the task: If it spans more than ~5 files or is architecturally non-trivial, stop and run the workflow-plan skill before coding.
- Distinctive: line 41
If any of these tools reports unavailable (a server is down), note it briefly and proceed with normal exploration (read/grep).
≈ “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.
Files
<!-- 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
- 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 returnedpath:linelocations and snippets to learn the existing patterns. If results look thin, the repo may be unindexed — callindex_repo(path)once, then search again. - 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. - Find existing conventions. Use
get_symbol_contextfor any symbol you're about to modify, so your change matches the surrounding code's style and contracts. - Size the task. If it spans more than ~5 files or is architecturally
non-trivial, stop and run the
workflow-planskill 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.
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
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.

