
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.