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PdbjorkPdbjork/hermosskills-site/skills/ecc-agent-introspection-debugging/SKILL.md

agent-introspection-debugging

Skill0 starsChanged 4 months agoNo licenceView on GitHub

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.

23 other projects use a version of this, 22 of them edited.

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Projects with it also use unified-memory, mle-workflow and 6 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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    Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.

    Also in 3 projects that use this

  • mturacSkill

    mle-workflow

    Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

    Also in 4 projects that use this

  • ysyecustSkill

    benchmark-methodology

    Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client's strategic tension) with explicit 1–5 rubrics and a tension-plot. Precedes competitive-report-structure.

    Also in 3 projects that use this

  • InfopibeSkill

    everything-claude-code

    Also in 3 projects that use this

  • junimnjwSkill

    agent-harness-construction

    Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.

    Also in 3 projects that use this

  • LangChainSkill

    docker-patterns

    Best practices for Docker containerization and multi-stage builds

    Also in 3 projects that use this

The file

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We split this skill into the rules it gives an agent

14 rules. 10 are common, 0 are distinctive, and 4 are very specific to this project.

  • 10

    Common

    Most of the 22 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 22 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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