
from tackline14
Run multi-step research and analysis chains (gather, distill, rank, verify, plan) automatically; choose and orchestrate primitives based on a user goal.
Tackline is a composable knowledge-work engine that maps a natural-language goal to a chain of operations (gather, distill, rank, filter, verify, plan, etc.) and executes them in order. It provides structured operations for research, comparison, planning, and verification with provenance and pipe-format outputs.
Use Tackline when a task requires multi-step reasoning or research — for example: compare approaches, gather and verify evidence, break down a project into MECE parts, or produce a prioritized plan. Prefer Tackline over invoking single primitive skills when you expect a sequence of operations.
Best for agents with code and agent-orchestration capabilities (multi-agent dispatch, code-reading assistants, Claude Code, Copilot-style orchestration). Tackline expects access to repo files for code-first research and can orchestrate parallel agents for fan-out tasks.
Tackline is a composable knowledge-work engine that chains 14 operations (gather, distill, rank, filter, verify, etc.) based on user goals. It's a pure prompt-engineering skill with no bundled scripts. The SKILL.md is well-structured with a clear decision tree for intent parsing and operation selection, though it references external rule files (pipe-format.md, fan-out-protocol.md) that aren't bundled.
No security concerns — no scripts, no network calls, no shell execution. Well-written prompt skill with good operation taxonomy. Missing referenced rule files means some functionality depends on external context not provided in the skill itself.
Bug Reporter
Create structured bug reports from descriptions or review output, with repro steps and priority to file issues in your tracker.
Premortem Risk Analysis
A risk-first design workflow that surfaces failure modes before implementation, specifically for high-stakes features involving security, money, or data integri