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identify-critical-chain

Identify the longest/limiting dependency path while accounting for resource contention and convergence points.

Skill by yogsoth-ai

IndexedApache-2.0★ 505
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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Identify the longest/limiting dependency path while accounting for resource contention and convergence points.

Use cases: finance

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/identify-critical-chain

What's inside

Skill name
identify-critical-chain
Description
Identify the longest/limiting dependency path while accounting for resource contention and convergence points.
License
Apache-2.0
Instructions
42 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# identify-critical-chain

## Purpose

Identify the longest/limiting dependency path while accounting for resource contention and convergence points.

## Input contract

```yaml
required: [dependency_graph, resource_constraints, convergence_points]
optional: [evidence, assumptions, prior_results]
constraints: [use named scientific objects; retain provenance and missingness; $\alpha$ = 0.05 and power = 0.8 where applicable]
```

## Procedure

1. Validate the typed inputs and state the decision this operation must support.
2. Apply the declared operation to the named object; record intermediate values that affect interpretation.
3. Check boundary conditions and counterexamples, then emit the result with uncertainty and source links.

## Output contract

```yaml
produces: [identify_critical_chain_result, evidence_trace, uncertainties]
delta_fields: [evidence_updates, uncertainties]
```

## Quality gates

- Inputs are named scientific objects with compatible schemas.
- Every material result has a derivation or source reference.
- Fixed statistical criteria remain exact where applicable: $\alpha$ 0.05 and power 0.8.

## Failure and counterexamples

Return a failed operation with the violated precondition when inputs are incomplete, assumptions are unsupported, or a counterexample defeats the result.

## Provenance map

- intermediate: experiment-execution/critical-chain-identification

From yogsoth-ai/de-anthropocentric-research-engine, Apache-2.0.

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    Stars
    505
    Forks
    43
    Open issues
    1
    Last commit (this folder)
    Sep 23, 2026 (1 month ago)
    Last release
    Oct 23, 2026 (8 days ago)

    From GitHub (fetched Oct 24, 2026).

    Details

    License
    Apache-2.0
    Repository
    github.com/yogsoth-ai/de-anthropocentric-research-engine
    First seen
    Oct 24, 2026
    Last checked
    Oct 24, 2026
    Source
    GitHubgithub-graphql

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    identify-critical-chain skill. Agent Mart. https://agentmart.dev/skills/yogsoth-ai-identify-critical-chain (last updated 2026-10-24)